Find Your Dream Automation Engineer Job in India

Job Description:

We are seeking a highly skilled Sr. QA Engineer with expertise in both manual and automation testing, particularly in mobile applications. The ideal candidate should possess strong knowledge of MySQL, proficiency in Appium, and a comprehensive understanding of Software Development Life Cycle (SDLC). The Sr. QA Engineer will be responsible for leading the QA team, developing and executing test plans, and ensuring the quality of products.

Job Responsibilities:

• Lead and mentor the QA team, providing guidance and support in testing methodologies, tools, and best practices.
• Foster a collaborative and innovative team environment, encouraging continuous improvement and knowledge sharing.
• Develop comprehensive test plans and test cases for mobile applications/CRM/APIsetc, ensuring adequate coverage of functional and non-functional requirements.
• Execute test cases manually, as well as design, implement, and execute automated test scripts using appropriate tools and frameworks.
• Conduct API testing using Postman and other tools to validate functionality, performance, and security of APIs.
• Conduct thorough testing of mobile applications across various platforms (iOS, Android) to identify defects, usability issues, and performance bottlenecks
• Validate compatibility and responsiveness of mobile apps across different devices, screen sizes, and resolutions.
• Design, develop, and maintain scalable automation frameworks tailored for mobile application testing, leveraging industry-standard tools and technologies. Appium with Selenium .
• Continuously enhance automation scripts and frameworks to improve efficiency, reliability, and maintainability.
• Perform backend testing by writing SQL queries to validate data integrity, accuracy, and consistency in MySQL databases.
• Collaborate with developers and database administrators to identify and resolve data-related issues.
• Utilize JIRA or similar issue tracking tools to log defects, track testing progress, and communicate testing status to stakeholders.
• Generate comprehensive test reports, summarizing test results, metrics, and recommendations for improvement.
• Work closely with cross-functional teams (Development, Product Management, DevOps) to integrate QA processes seamlessly into the SDLC.
• Participate in requirements analysis, design reviews, and sprint planning sessions to ensure testability and quality of deliverables.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience of at least 2 years in QA leadership roles, with a focus on mobile application testing.
• Minimum of 5 years of experience in software testing, with a focus on mobile application testing and automation testing roles.
• Strong proficiency in manual testing techniques and methodologies.
• Extensive hands-on experience in designing and implementing automation frameworks for mobile applications (e.g., Appium, XCTest, Espresso).
• Proficiency in writing SQL queries for backend testing and data validation in MySQL databases.
• Expertise in using bug tracking tools for issue tracking and project management.
• In-depth understanding of SDLC principles and agile methodologies (Scrum, Kanban).
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
• Strong analytical and problem-solving skills, with attention to detail and a passion for quality assurance.
• Knowledge of performance testing tools (JMeter, LoadRunner) and security testing concepts.
• Additional Qualifications:
• Any Industry certifications in software testing (ISTQB, CSTE, etc.).

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Company Description

Able Heat Engineering India Private Limited is a pioneering engineering company based in India, specializing in the design and manufacturing of cutting-edge machinery and fire testing solutions. With expertise in fire resistance test furnaces, reaction-to-fire equipment, façade testing systems, and custom-built solutions, the company has become a trusted name in the passive fire protection sector. Guided by its core belief that safety is paramount, Able Heat Engineering integrates precision engineering and rigorous research to create innovative solutions. The company strives to meet current industry standards while addressing the evolving safety requirements of the future.

Role Description

This is a full-time on-site role for an Automation Engineer at our Chennai location. The Automation Engineer will be responsible for designing, developing, and implementing automated systems, troubleshooting technical issues, and maintaining equipment functionality. Daily responsibilities include overseeing process control operations, monitoring system performance, and collaborating with cross-functional teams to optimize automation processes. The role also involves working with electrical and robotics components to ensure smooth system integration and operation.

Qualifications

• Proficiency in Automation and Robotics technologies
• PLC, scada and labview Programming
• Strong knowledge and experience in Process Control and Troubleshooting
• Foundational understanding and expertise in Electrical Engineering
• Ability to analyze and optimize industrial processes
• Strong problem-solving skills and attention to detail
• Experience in industrial or manufacturing environments is a plus
• Bachelor's degree in Automation, Electrical Engineering, Mechatronics, or a related field

Senior Quality Engineer (Automation) - Fintech

Location: Bangalore Employment Type: Full-time Experience: 8-12 Years

About the Role

We're looking for a Senior Quality Engineer with strong automation testing experience across API and Web UI for fintech products. You'll work with modern tools like REST Assured, Playwright, and Cucumber, and help adopt AI-powered testing tools to improve quality and speed.

What You'll Do

• Automate backend API tests using REST Assured
• Automate web UI tests using Playwright
• Create and maintain Cucumber BDD feature files
• Integrate automation into CI/CD pipelines
• Collaborate with developers and product teams in Agile/Scrum
• Use or evaluate AI-driven testing tools for smarter test execution and analysis

What We're Looking For

• 5+ years of experience in QA / Automation Testing
• Strong hands-on experience with:
• REST Assured
• Playwright
• Cucumber (BDD)
• Programming experience in Java or JavaScript/TypeScript
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)

AI in Test Automation (Strong Plus)

• Exposure to AI-powered testing tools, such as:
• Applitools (Visual AI testing)
• Mabl, Functionize, Test.ai
• ReportPortal (AI-based test analytics)
• Understanding of:
• Self-healing automation
• Intelligent test prioritization
• AI-assisted failure analysis

Nice to Have

• Fintech / Banking domain experience
• Cloud experience (AWS / Azure / GCP)
• Performance or security testing exposure

Why Join

• Work on a modern fintech platform
• Opportunity to apply AI in automation testing
• Fast-paced, collaborative engineering environment

Dear Candidates,

UST is looking for a Automation tester with AWS knowledge with atleast 5 years of exp.

Required Experience : 5-8 Years

NP : Immediate to 15 days only

Location: Equinox Business Park, LBS Marg, Kurla (W), Mumbai, Maharashtra

Interested candidate can share your updated CV to

JD

Job Summary We are looking for an experienced and meticulous Quality Assurance (QA) Specialist to join our team. In this role, you will be responsible for conducting comprehensive testing, analyzing data, and writing test cases to ensure our products and services meet the highest standards of quality and performance. You will validate functionality across multiple platforms, identify vulnerabilities, and provide actionable insights to improve overall solutions.

The ideal candidate will have a proven track record in QA, with a minimum of 4 years of relevant experience. Strong proficiency in programming languages like Java, C++, and Python, as well as expertise in writing unit and integration tests, is required. Certifications such as CSTE, ISTQB Agile Tester, or CAST are highly desirable.

This position offers a hybrid work model with a preferred location in Mumbai.

Objectives of this Role

• Conduct comprehensive software testing, analyze data, write test cases, and collaborate effectively with developers.
• Validate software functionality across various operating systems, browsers, and devices to ensure the software meets quality standards and user needs.
• Identify and test for security vulnerabilities, providing actionable input to enhance product solutions.
• Communicate software testing results to stakeholders while suggesting opportunities for improvement.

Required Skills and Qualifications

• Bachelor's degree in computer programming, software development, or a related field.
• A minimum of 4 years of experience as a software tester or quality assurance specialist.
• Demonstrated ability to test and deliver quality software across multiple platforms, with a solid understanding of industry-standard procedures and tools.
• Knowledge of programming languages such as Scala or Java.

Proven experience testing applications in AWS cloud environments. Understanding of cloud architecture, scalability, security, and performance considerations.

• Skilled in writing unit, Functional and integration test cases.
• Possession of relevant software testing certifications, including Certified Software Tester (CSTE), ISTQB Agile Tester Certification, or Certified Associate in Software Testing (CAST).
• knowledge of Automation testing (such as TOSCA /Selenium)

Location and Working Model

• Preferred Location: Mumbai
• Working Model: Hybrid

Skills

software testing,quality assurance,java,scala,

Responsibilities:

• Interact with product management, project management and development teams to develop a strong understanding of the project and testing objectives

• Should co-ordinate between onshore & offshore teams

• Perform SQL queries to analyze and manipulate data.

• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution

• Design and create test conditions, test data and test scripts to address business and technical use cases

• Use existing tools and techniques to execute test cases and build/script new tools for performing testing/validation function

Mandatory Skills Description:

• 5+ years of experience in data driven testing

• Mandatory experience in Banking or Capital Market Projects

• Good experience on PyTest and Test Automation

• Good experience in Selenium

• Strong understanding of web application testing and associated technologies.

• Proficiency in creating test plans and test cases per requirements and design

• Familiarity with continuous integration and continuous deployment (CI/CD) processes.

Nice-to-Have Skills Description:

• Knowledge of PySpark

• Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus

• Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Company Description

Agate Industrial Solutions Private limited & Acquatech Ltd are a decade old enterprise providing quality and reliable service in Onsite Project Management / Execution and Project Programming to various Industries.

Our primary client till now has been from Non- Woven Textile, Tyre Industries, Plastic Industries & Wind energy sector. We specialize in programming automation systems from Siemens, Rockwell & Schneider.

Role Description

This is a full-time hybrid role for an Automation and Commissioning Engineer - Electrical / Instrumentation / PLC Programmer at Acquatech Ltd - AGATE Industrial solutions Pvt ltd. The role is located in Chennai and travel across India / Abroad. The Automation Engineer will be responsible for developing, testing, and implementing automated systems for industrial processes & Commissioning of the machines on-site.

Day-to-day tasks include programming PLCs (Programmable Logic Controllers), designing electrical control systems, troubleshooting and maintaining automated systems, and collaborating with other engineers and stakeholders to optimize process control and automation. The role may also involve integrating robotics into existing processes to enhance efficiency and productivity.

Qualifications

• Electrical Engineering and Automation skills
• Experience in Programming PLCs and designing Electrical Control Systems
• Diploma or Bachelor's degree in Electrical / Electronics / Instrumentation Engineering, Mechatronics, or related field
• Troubleshooting and Maintenance skills for automated systems
• Knowledge of Process Control and Robotics
• Willingness to Travel across the world for onsite works
• Excellent problem-solving and analytical skills
• Ability to work both independently and collaboratively in a team
• Experience in industrial automation or a related field is a plus

Experience Range: 5 to 10 Years

About the Role

Must have skills:

• At least 5 to 8 years of experience in building complex test automation framework from scratch using JavaScript or TypeScript.
• Must have UI automation experience.
• Hands-on using Selenium WebDriver with Java Script/TypeScript.
• Involved in Automation frameworks building.
• Good to have experience with Percy and browser stack.
• Good to have API Automation experience/component integration testing experience with Postman or similar tools.
• Experience in Azure DevOps to integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner.
• Good to have Playwright Node Js languages (JavaScript/Typescript).
• Version control operations (GitHub, GitLab, Bitbucket).
• Strong experience in BDD with Cucumber or similar framework.
• Basic Object-Oriented Programming knowledge.
• Experience of working in an agile environment and the role of QA in agile ceremonies.
• Knowledge on Jira, Zephyr for Test Management.
• Proficient Testing experience.

About Position:

We are seeking a highly skilled Automation Test Engineer with strong experience in Python, Robot Framework, Automation Testing, Manual Testing, Git, CI/CD, Docker, and AWS. The role involves designing and automating test solutions for API and UI workloads, troubleshooting production issues, and ensuring high-quality releases in an Agile environment.

• Role: Automation Engineer
• Location: Bangalore
• Experience: 10+ Years
• Job Type: Full Time Employment

What You'll Do:

• Develop, write, and execute functional, regression, sanity, and production verification test cases.
• Build and maintain automated tests for API and GUI using Python and Robot Framework.
• Convert manual test cases into robust automated scripts for end to end testing.
• Troubleshoot defects by performing root cause analysis, reproducing issues, and deep diving into live environments.

Expertise You'll Bring:

• Validate and test systems deployed in cloud environments (AWS).
• Work with Agile tools such as Jira, Confluence, Bamboo, Harbor, etc.
• Test containerized and distributed systems using Docker and (optional) Kubernetes.
• Collaborate closely with development teams to ensure high quality deliverables and timely releases.
• Maintain test execution results, logs, reports, and ensure adherence to QA standards.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent -

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

THE OPPORTUNITY

• Design, develop, and execute automated and manual test cases.

• Review and analyse system requirements for completeness, accuracy, and testability.

• Document and maintain comprehensive test cases, results, and test plans.

• Write, maintain, and optimize automated test scripts.

• Collaborate closely with development and product teams to ensure quality at every stage.

• Work both independently and in team-based environments.

• Identify opportunities to improve and streamline testing processes.

• Interpret technical and business requirements to define test strategies.

• Conduct and document risk analyses.

• Evaluate user interfaces for consistency, usability, and functionality.

• Research and assess new tools, technologies, and testing approaches.

• Drive innovation in testing methodologies to enhance product quality.

THE SKILL SET

• 6 yrs of experience.

• Primary skills are for this role is Typescript and Playwright. Secondary would be Groovy

• Strong expertise in manual exploratory testing for both UI and API.

• Ability to document and maintain exploratory test specifications.

• Critical thinking skills to challenge and refine product requirements.

• Proficiency in preparing and reviewing acceptance criteria.

• Solid understanding of Agile practices, especially SCRUM.

• Clear, concise, and professional written and spoken English communication skills.

• Ability to analyse and debug failed automated tests (UI and API).

• Hands-on experience with test automation tools and scripting including:

Total Years : 8 Years

Notice Period : Immediate Joiner

Location : Hyderabad / Bangalore (Hybrid)

About the Opportunity

We are building a focused cloud network automation capability within a large-scale, global hub-and-spoke multi-cloud enterprise environment. This initiative is anchored by F5 load balancer automation and is designed to strengthen reliability, consistency, and lifecycle visibility across VIP and public IP management in Azure, AWS, and other cloud platforms.

This is not a traditional on-prem networking role. The work centers on designing and implementing API-driven automation across cloud-native networking constructs, ensuring that VIP and public IP lifecycle management is consistent across distributed cloud environments.

You will work alongside a US-based Senior Cloud F5 Automation Lead and global engineering stakeholders to deliver production-grade automation supporting multi-cloud VIP lifecycle management and state-aware network orchestration.

Role Overview

The Cloud Network Automation Engineer will implement F5 automation workflows and lifecycle validation logic within a cloud-centric, hub-and-spoke architecture spanning multiple cloud providers.

This role requires strong understanding of cloud networking constructs, cloud load balancer integration patterns, and API-driven automation in distributed environments.

Key Responsibilities

• Cloud F5 Automation & Lifecycle ManagementDevelop automation workflows for F5 VIP provisioning and deprovisioning across multi-cloud environments
• Implement API-driven configuration management using F5 REST interfaces
• Support lifecycle-aware handling of public IPs within Azure, AWS, and GCP
• Apply validation logic to distinguish shared versus dedicated VIP scenarios
• Cloud Networking & Architecture AlignmentWork within a hub-and-spoke cloud network topology
• Understand and align automation to VNet / VPC architectures, routing, and security boundaries
• Ensure automation reflects provider-specific IP allocation and association patterns
• Automation Development & EngineeringDesign reusable automation modules and configuration templates
• Implement deterministic guardrails for lifecycle operations
• Contribute to centralized lifecycle and state tracking mechanisms
• Participate in technical design and peer reviews
• Required Experience & Skills8+ years of experience in cloud network engineering and automation
• Strong hands-on experience with F5 BIG-IP (LTM, VIPs, pools, profiles)
• Experience with Azure VNet, AWS VPC, and cloud public IP management
• Experience working with F5 REST APIs
• Proficiency in Python or similar scripting language
• Strong understanding of L4-L7 networking concepts in cloud environments
• Experience designing automation with validation and guardrail logic
• Familiarity with Git or other version control systems
• Preferred / Nice to HaveExperience integrating automation with ServiceNow
• Experience working in large-scale multi-cloud enterprise environments
• Familiarity with Infrastructure-as-Code (Terraform, ARM, CloudFormation)
• Experience with CI/CD for infrastructure automation
• Working ModelCollaborates closely with a US-based Senior Cloud Network Automation Engineer (F5 Lead)
• Works alongside LATAM automation and integration engineers
• Engages with enterprise cloud and network architecture stakeholders
• Participates in design, build, test, and rollout cycles

About Eternal Robotics

Eternal Robotics is an Industrial AI and Automation company delivering advanced robotics, computer vision, and factory automation solutions. We integrate IT and OT systems to build intelligent, scalable, and high-performance industrial environments.

Role Overview

We are looking for a Senior Automation Engineer with strong expertise in industrial automation systems and factory deployments.

This role involves end-to-end design, architecture, integration, and commissioning of automation solutions including PLC systems, Conveyor & material handling systems, Industrial sensors & actuators, SCADA & HMI platforms, Robotics system deployments, End-to-end system integration

If you enjoy designing automation architectures and bringing systems to life on the shop floor, this role is for you.

Key Responsibilities

Industrial System Design & Architecture

• Design automation architectures including PLC panels, networking, and SCADA integration
• Develop control philosophies, system layouts, and electrical architecture documentation
• Define scalable hardware selection standards

PLC & SCADA Engineering

• Program and troubleshoot PLCs (Siemens, Schneider, Mitsubishi, Omron preferred)
• Develop HMI/SCADA interfaces
• Implement structured ladder logic and industrial communication protocols

System Integration

• Integrate conveyors, robotics, sensors, and vision systems
• Work with Modbus, Profinet, Ethernet/IP, OPC-UA and similar protocols
• Ensure seamless cross-platform integration

Deployment & Commissioning

• Lead FAT & SAT activities
• Support on-site commissioning and troubleshooting
• Validate system performance in live factory environments

Vendor & Customer Coordination

• Coordinate with vendors for hardware selection
• Work closely with plant teams and operations leaders
• Provide documentation, training, and post-deployment support

Qualifications & Experience

• Bachelor's degree in Electrical / Electronics / Mechatronics or related field
• 5+ years of experience in Industrial Automation & Factory Systems
• Experience delivering complex automation or robotics projects
• Strong background in system layout planning and solution design

Required Technical Skills

• PLC Programming (Siemens, Schneider, Mitsubishi, Omron)
• SCADA & HMI Development
• Conveyor & Material Handling Integration
• Industrial Sensors & Actuators
• Industrial Communication Protocols
• Control Panel Design & Electrical Architecture
• Robotics Deployment & Commissioning
• FAT/SAT Execution
• Electrical Systems Debugging

Preferred (Added Advantage)

• Experience integrating Machine Vision systems (Cognex, Keyence, etc.)
• Exposure to robotics + AI-enabled industrial systems
• Python / C++ knowledge

Why Join Us?

At Eternal Robotics, you will:

• Work on cutting-edge industrial automation & robotics systems
• Deploy real-world factory solutions
• Collaborate with cross-functional engineering teams
• Contribute to high-impact industrial transformation projects

If you are passionate about automation, system design, and delivering high-performance industrial systems, we'd love to connect.

Core Automation Expertise

• Playwright: Strong hands-on experience with Playwright test automation framework including test creation, execution, and maintenance
• Playwright Codegen: Proficiency in using Playwright's code generation tool for rapid test script development and element identification
• JavaScript
• Traditional Automation Tools: Proven experience with Selenium and/or WebDriverIO for web application testing
• Agentic AI for UI Automation: Understanding or hands-on experience with AI-powered testing tools and autonomous agents for intelligent test generation, self-healing tests, and adaptive automation

Technical Competencies

• Understanding of web technologies (HTML, CSS, DOM manipulation)
• Experience with test framework design patterns (Page Object Model, Data-Driven Testing)
• Knowledge of CI/CD pipelines and integration of automated tests
• Familiarity with version control systems (Git)
• Ability to debug and troubleshoot complex test scenarios
• Experience with API testing and integration testing
• Agentic AI for UI Automation: Understanding or hands-on experience with AI-powered testing tools and autonomous agents for intelligent test generation, self-healing tests, and adaptive automation
• Python: Working knowledge of Python for automation scripting and tool development

We are seeking a skilled QA Engineer to join our dynamic team. You will design, develop, and execute automated test suites to ensure high-quality software delivery. The ideal candidate thrives in fast-paced environments, with a strong focus on automation using modern tools.

Key Responsibilities

• Proficiency in Python, Playwright Selenium is mandatory; must have more than 4 years of hands-on experience in both for automation testing.
• Develop and maintain robust automation frameworks using Python and Playwright.
• Design, implement, and execute automated test scripts for web applications, APIs, and integrations.
• Collaborate with developers, product managers, and stakeholders to identify test coverage gaps and improve quality processes.
• Perform manual testing when needed, including exploratory and regression testing.
• Analyze test results, report defects using tools like Jira or Bugzilla, and track resolution.
• Optimize test scripts for performance, scalability, and maintainability.
• Participate in CI/CD pipeline integration (e.g., Jenkins, GitHub Actions) for automated testing.
• Mentor junior QA team members and contribute to test strategy and process improvements.
• More than 4 years of experience in Playwright and Python
• Automation experience is a must

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.

• Minimum 4+ years of experience in QA automation engineering.

• Strong experience with automation frameworks Selenium.

• Familiarity with API testing tools (e.g., Postman, RestAssured) and version control (Git).

• Knowledge of Agile/Scrum methodologies and test management tools.

• Excellent problem-solving skills and attention to detail.

Preferred Skills

• Experience with cloud platforms (AWS, Azure) or containerization (Docker, Kubernetes).

• ISTQB certification or equivalent.

• Exposure to performance testing (e.g., JMeter) or mobile automation.

What We Offer

• Competitive salary and benefits package.

• Opportunities for professional growth in a collaborative environment.

• Flexible work arrangements.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations. We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style). We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude/GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope)

• AI-Driven Communications: Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.
• Intelligent Reporting Loops: Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.
• Data Synchronization: Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).
• Contextual RAG: Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack

• Orchestration: n8n (Primary requirement).
• Database: Supabase (PostgreSQL).
• CRM: Attio & Airtable.
• AI: Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are

• n8n Expert: You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.
• Data Literate: You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").
• Prompt Engineer: You understand how to structure System vs. User prompts to prevent hallucinations and ensure strict formatting compliance.
• Detail Oriented: We automate high-value interactions. You understand the importance of testing and "kill-switches" to prevent errors.

Role: Senior Software Test Automation Engineer

Location: Kochi, Kerala (On-Site)

Role Overview

• Lead an automation-first quality engineering strategy for SaaS and AI-native platforms.
• Define and enforce automation coverage targets (80%+ regression), eliminating manual dependency.
• Drive end-to-end UI, API, and backend automation embedded into engineering workflows.
• Own CI/CD quality gates and release readiness , ensuring predictable, high-confidence deployments.
• Systematically eliminate repetitive manual testing cycles through scalable automation frameworks.
• Enable faster innovation and safer releases through measurable quality, performance, and reliability controls.

Key Responsibilities

Automation Framework & Quality Strategy

• Design and build automated QA testing frameworks from scratch , covering UI, API, backend, and AI validation layers.
• Define automation coverage targets (unit, integration, regression) and continuously improve coverage.
• Validate unit and integration test coverage in collaboration with engineering teams.
• Drive regression automation , especially after guardrail, security, and model updates.
• Ensure test frameworks are scalable, maintainable, and CI/CD ready.

Dear ,

Hope you are doing well.

Please find the job description. If this is of your interest kindly share the below:

Send resumes to manju@nam-it.com

1. Current location
2. Onsite availability for all 5days YES OR NO?
3. LWD or Notice time to join this project? Need Immediate joiners only.
4. Current offer in hand? Please share the screenshot
5. Current CTC?
6. Expected CTC?

Job Title: QA Automation Engineer – Playwright is a must.

Location:Bengaluru (Onsite/Hybrid)

Employment Type: Full-Time (FTE)

Need 5-8 years max level of Experience. And Locals to Noida, Immediate Joiners only.

Not more than 2-3 weeks max.DO NOT SUBMIT WITHOUT PLAYWRIGHT EXP AND CALL.

Face-2-Face interview is Mandatory to attend after Virtual round of interview

Job Description:

We are seeking a QA Automation Engineer with strong hands-on experience in Playwright for web application automation testing. The role involves designing, developing, and maintaining automated test frameworks using Playwright, Selenium, Cucumber, and BDD methodologies.

Key Skills & Responsibilities:

• Strong experience in Playwright for end-to-end web automation
• Hands-on with Selenium and test automation frameworks
  

  NAM Info Inc

  

  Today