Find Your Dream Artificial Intelligence Job in India

Job Description - GenAI / AI Engineer

We are looking for a highly skilled and passionate GenAI / AI Engineer with strong experience in building scalable AI-driven applications, LLM-based systems, and enterprise-grade AI solutions. The ideal candidate should have hands-on expertise in modern AI frameworks, RAG architectures, vector databases, and cloud AI services, along with strong software engineering fundamentals.

Key Responsibilities

• Design, develop, and deploy scalable AI/GenAI applications using LLMs and agent-based architectures.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
• Implement effective chunking strategies, token optimization, and context management techniques.
• Develop AI-powered solutions using frameworks such as LangChain and LlamaIndex.
• Work with Vector Databases and Knowledge Graphs for semantic search and contextual retrieval.
• Integrate and leverage Vision APIs and multimodal AI capabilities where applicable.
• Implement hallucination control mechanisms and responsible AI practices.
• Fine-tune prompts and optimize prompt engineering strategies for accuracy and performance.
• Collaborate with cross-functional engineering teams to build production-ready AI applications.
• Deploy and manage AI workloads on cloud platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.
• Ensure software quality through proper versioning, testing, containerization, and deployment practices.

Required Skills

Must Have

• Agent Frameworks
• RAG Frameworks
• Chunking Strategies
• Large Language Models (LLMs)
• AI on Cloud Services
• Open Source Frameworks - LangChain, LlamaIndex
• Vector Databases
• Token Management
• Knowledge Graphs
• Vision APIs
• Prompt Engineering
• Python, SQL, Docker, Versioning Tools
• Azure AI Foundry / AWS Bedrock / GCP Vertex AI
• Strong Software Engineering & AI Application Development experience

Good to Have

• AI Algorithms
• Machine Learning
• Deep Learning
• Computer Vision
• Hallucination Control Mechanisms
• Responsible AI Frameworks

Experience Criteria

• Mandatory Relevant Experience: 4+ Years in AI / GenAI Development

Preferred Profile

• Strong problem-solving and analytical skills.
• Experience in designing scalable, production-grade AI systems.
• Ability to work independently in a fast-paced environment.
• Excellent communication and collaboration skills.

Job Title: Azure AI Engineer

Location: Noida (Sector-132)

Company: ThoughtSol Infotech Ltd

Experience: Min. 2 Years

About Us:

Our story started in January 2014 with the simple thought of bringing meaningful change-through advanced technology, services, and commitment. We bring strong domain expertise across Digital Solutions, Data Centre Solutions, Cloud Services, and NextGen Services, aiming to deliver innovation and excellence.

Job Description:

We are seeking a talented and experienced Azure AI Engineer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and cloud computing, with expertise in implementing AI solutions on the Azure platform. You will play a key role in designing, developing, and deploying AI-driven applications to drive business growth and innovation.

Responsibilities:

• Design, develop, and deploy AI solutions on the Azure platform using Azure Machine Learning, Azure Cognitive Services, and Azure Databricks
• Collaborate with cross-functional teams to understand business requirements and define AI use cases
• Develop and implement machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn
• Clean, preprocess, and analyze large datasets using Azure Data Lake, Azure SQL Database, etc.
• Build and optimize scalable ML pipelines for data ingestion, processing, and deployment
• Evaluate and improve model performance using appropriate metrics
• Stay updated with the latest Azure AI tools and best practices
• Provide technical guidance and mentorship to junior team members
• Work on Agentic AI frameworks to design autonomous and decision-making AI systems
• Develop and deploy AI solutions using Microsoft Copilot Studio for conversational and enterprise automation use cases

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
• Minimum 2+ years of experience in AI/ML engineering (Azure-focused preferred)
• Proficiency in Python, Java, or C#
• Strong understanding of machine learning algorithms, data structures, and statistics
• Hands-on experience with Azure AI services (Azure ML, Cognitive Services, Databricks)
• Experience with Agentic AI concepts and architectures
• Working knowledge of Microsoft Copilot Studio / AI copilots development
• Knowledge of Azure cloud services (Data Lake, SQL Database, Storage)
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Preferred Skills:

• Experience with MLOps and deployment pipelines
• Knowledge of NLP, Generative AI, or LLMs
• Azure certifications (AI Engineer Associate, etc.)
• Exposure to data governance and security practices

Job Description - GenAI / AI Engineer

We are looking for a highly skilled and passionate GenAI / AI Engineer with strong experience in building scalable AI-driven applications, LLM-based systems, and enterprise-grade AI solutions. The ideal candidate should have hands-on expertise in modern AI frameworks, RAG architectures, vector databases, and cloud AI services, along with strong software engineering fundamentals.

Key Responsibilities

• Design, develop, and deploy scalable AI/GenAI applications using LLMs and agent-based architectures.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
• Implement effective chunking strategies, token optimization, and context management techniques.
• Develop AI-powered solutions using frameworks such as LangChain and LlamaIndex.
• Work with Vector Databases and Knowledge Graphs for semantic search and contextual retrieval.
• Integrate and leverage Vision APIs and multimodal AI capabilities where applicable.
• Implement hallucination control mechanisms and responsible AI practices.
• Fine-tune prompts and optimize prompt engineering strategies for accuracy and performance.
• Collaborate with cross-functional engineering teams to build production-ready AI applications.
• Deploy and manage AI workloads on cloud platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.
• Ensure software quality through proper versioning, testing, containerization, and deployment practices.

Required Skills

Must Have

• Agent Frameworks
• RAG Frameworks
• Chunking Strategies
• Large Language Models (LLMs)
• AI on Cloud Services
• Open Source Frameworks - LangChain, LlamaIndex
• Vector Databases
• Token Management
• Knowledge Graphs
• Vision APIs
• Prompt Engineering
• Python, SQL, Docker, Versioning Tools
• Azure AI Foundry / AWS Bedrock / GCP Vertex AI
• Strong Software Engineering & AI Application Development experience

Good to Have

• AI Algorithms
• Machine Learning
• Deep Learning
• Computer Vision
• Hallucination Control Mechanisms
• Responsible AI Frameworks

Experience Criteria

• Mandatory Relevant Experience: 4+ Years in AI / GenAI Development

Preferred Profile

• Strong problem-solving and analytical skills.
• Experience in designing scalable, production-grade AI systems.
• Ability to work independently in a fast-paced environment.
• Excellent communication and collaboration skills.

Platform & System Design

• Architect scalable, high-availability data pipelines for processing large-scale industrial workloads with optimized latency and reliability.
• Design modular, reusable AI services and components that integrate effectively within Digital Twin platforms and enterprise ecosystems.
• Build production-grade AI systems with strong focus on security, observability, resiliency, and scalability.

Technical Leadership

• Provide architectural direction and mentor AI engineers and cross-functional development teams.
• Review and validate solution architectures to ensure compliance with enterprise standards and best practices.
• Lead initiatives focused on performance optimization, operational efficiency, cost management, and platform stability across AI deployments.

Integration & Full-Stack Enablement

• Drive integration of AI capabilities into modern web applications and mobile platforms, with preference for MEAN stack environments.
• Define and implement scalable API and microservices architectures for AI-driven applications.
• Ensure seamless, intuitive user and operator experiences across integrated systems and platforms.

Collaboration & Innovation

• Collaborate with AI researchers, product stakeholders, and domain specialists to transform advanced AI concepts into scalable enterprise solutions.
• Assess and recommend emerging AI frameworks, technologies, and tools for adoption within industrial platforms.
• Contribute to the strategic vision, roadmap, and evolution of AI-first enterprise solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (Master's preferred).
• 7+ years of experience in software engineering, including significant expertise in architecting AI/ML-powered systems.
• Strong understanding of distributed systems, system design, data structures, algorithms, and complexity analysis.
• Proven experience building and scaling AI architectures in production environments, including:
• Retrieval-Augmented Generation (RAG) systems
• Large Language Model (LLM) integrations
• Search and optimization platforms
• Applied AI solutions such as anomaly detection, recommendation systems, and NLP applications
• Expertise in scalable API development and microservices-based architectures.
• Experience integrating AI solutions into full-stack ecosystems and mobile platforms; MEAN stack experience is highly desirable.
• Strong architectural and strategic thinking with the ability to balance innovation, scalability, maintainability, and business outcomes.
• Experience within industrial technology or Digital Twin domains is a strong advantage.

Key Attributes

• Strategic mindset combined with strong hands-on technical expertise.
• Ability to translate complex AI concepts into scalable, enterprise-grade systems.
• Strong sense of ownership with proven cross-functional leadership capabilities.
• Passion for advancing AI-first industrial software platforms and solutions.

Platform & System Design

• Architect scalable, high-availability data pipelines for processing large-scale industrial workloads with optimized latency and reliability.
• Design modular, reusable AI services and components that integrate effectively within Digital Twin platforms and enterprise ecosystems.
• Build production-grade AI systems with strong focus on security, observability, resiliency, and scalability.

Technical Leadership

• Provide architectural direction and mentor AI engineers and cross-functional development teams.
• Review and validate solution architectures to ensure compliance with enterprise standards and best practices.
• Lead initiatives focused on performance optimization, operational efficiency, cost management, and platform stability across AI deployments.

Integration & Full-Stack Enablement

• Drive integration of AI capabilities into modern web applications and mobile platforms, with preference for MEAN stack environments.
• Define and implement scalable API and microservices architectures for AI-driven applications.
• Ensure seamless, intuitive user and operator experiences across integrated systems and platforms.

Collaboration & Innovation

• Collaborate with AI researchers, product stakeholders, and domain specialists to transform advanced AI concepts into scalable enterprise solutions.
• Assess and recommend emerging AI frameworks, technologies, and tools for adoption within industrial platforms.
• Contribute to the strategic vision, roadmap, and evolution of AI-first enterprise solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (Master's preferred).
• 7+ years of experience in software engineering, including significant expertise in architecting AI/ML-powered systems.
• Strong understanding of distributed systems, system design, data structures, algorithms, and complexity analysis.
• Proven experience building and scaling AI architectures in production environments, including:
• Retrieval-Augmented Generation (RAG) systems
• Large Language Model (LLM) integrations
• Search and optimization platforms
• Applied AI solutions such as anomaly detection, recommendation systems, and NLP applications
• Expertise in scalable API development and microservices-based architectures.
• Experience integrating AI solutions into full-stack ecosystems and mobile platforms; MEAN stack experience is highly desirable.
• Strong architectural and strategic thinking with the ability to balance innovation, scalability, maintainability, and business outcomes.
• Experience within industrial technology or Digital Twin domains is a strong advantage.

Key Attributes

• Strategic mindset combined with strong hands-on technical expertise.
• Ability to translate complex AI concepts into scalable, enterprise-grade systems.
• Strong sense of ownership with proven cross-functional leadership capabilities.
• Passion for advancing AI-first industrial software platforms and solutions.

AI Engineer

Location: Hyderabad, India (Mon-Thurs in office first half of the day and then remote second half of the day; Friday fully remote)

Shift: 5:30PM IST - 2:30AM IST

Employment Type: 1 year contract with extensions

Salary: 20-40 LPA (full healthcare benefits, PTO, retirement, etc. provided on contract - onboarded as an employee of Insight Global on contract)

Joining Date: Immediate Start Date but open to candidates with 30 days or less notice period

Overview

Required Skills & Experience

• Proficiency with AI-assisted development tools (Cursor, GitHub Copilot) for rapid, high-quality application development including agent mode, rules configuration, and context management.

• Expert Python and strong software engineering practices (testing, packaging, code review, version control).

Job Description

Insight Global seeking an innovative and highly skilled AI Engineer to design, develop, and deploy autonomous AI agents and production-ready AI applications that elevate our Data Science and Business Intelligence capabilities. This role will partner with Data Science, Product, Engineering, and the Information Management & Analytics team to deliver scalable agent-based solutions across marketing, sales, operations, and member experience.

The ideal candidate combines deep expertise in large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) with hands-on proficiency in AI-assisted development tools such as Cursor and GitHub Copilot. They will build, test, and maintain agent workflows that automate complex business processes while ensuring security, reliability, responsible AI practices, and enterprise-grade quality.

Job title: AI Engineer

Location: Remote (but have to be located in Bangalore, Hyderabad or Chennai)

Artificial General Intelligence (AGI) Data Services is at the forefront of AI innovation, specializing

in the development and refinement of large language models (LLMs). Our mission is to create AI

systems that can understand and generate high-quality code, revolutionizing the software

development landscape.

Job Description: As an LLM Evaluation Expert specializing in Coding, you will play a crucial role in

assessing and improving our language models' coding capabilities. Your expertise will be

instrumental in evaluating LLM-generated code responses, making high-level judgments, and

setting the standard for what constitutes excellent AI-assisted coding.

Key Responsibilities:

• Critically analyze and evaluate code responses generated by our LLMs across various

programming languages and paradigms

• Exercise expert judgment to select the most appropriate and efficient code solutions from

multiple LLM-generated options

• Make informed decisions on behalf of our customers, ensuring that selected code meets

industry standards, best practices, and specific client needs

• Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated

code, setting benchmarks for quality and efficiency

• Provide detailed feedback and explanations for your evaluations, helping to refine and

improve the LLM's understanding and output

• Collaborate with the AI research team to identify areas for improvement in the LLM's coding

capabilities

• Stay abreast of the latest developments in software engineering, coding standards, and AI to

ensure our evaluations remain cutting-edge

Required Qualifications:

• 3-5 years' development experience using Python or Java.

• Advanced degree in Computer Science, Software Engineering, or a related field

• Extensive experience in software development across multiple programming

languages(Python, Java) and paradigms

• Demonstrated ability to critically evaluate code quality, efficiency, and adherence to best

practices

• Strong analytical and decision-making skills, with the ability to make complex judgments

under ambiguous circumstances

• Excellent written and verbal communication skills, with the ability to explain technical

concepts clearly

• Experience with Docker

• Experience in technical writing, particularly in creating coding examples or tutorials

Preferred Qualifications:

• Previous experience working with or evaluating AI systems, particularly in the context of code

generation

• Familiarity with a wide range of software development methodologies and architectural

patterns

• Understanding of machine learning concepts, particularly as they apply to natural language

processing and code generation

• Experience in creating or contributing to coding standards or style guides

This role requires a unique blend of technical expertise, critical thinking, and communication

skills. You will be the bridge between advanced AI technology and practical, real-world coding

applications. Your work will directly influence the development of next-generation AI coding

assistants, shaping the future of software development.

If you're passionate about code quality, have a keen eye for detail, and are excited about the

potential of AI in software engineering, we encourage you to apply for this pivotal role at AGI

Data Services.

Job title: AI Engineer

Location: Remote (but have to be located in Bangalore, Hyderabad or Chennai)

Artificial General Intelligence (AGI) Data Services is at the forefront of AI innovation, specializing

in the development and refinement of large language models (LLMs). Our mission is to create AI

systems that can understand and generate high-quality code, revolutionizing the software

development landscape.

Job Description: As an LLM Evaluation Expert specializing in Coding, you will play a crucial role in

assessing and improving our language models' coding capabilities. Your expertise will be

instrumental in evaluating LLM-generated code responses, making high-level judgments, and

setting the standard for what constitutes excellent AI-assisted coding.

Key Responsibilities:

• Critically analyze and evaluate code responses generated by our LLMs across various

programming languages and paradigms

• Exercise expert judgment to select the most appropriate and efficient code solutions from

multiple LLM-generated options

• Make informed decisions on behalf of our customers, ensuring that selected code meets

industry standards, best practices, and specific client needs

• Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated

code, setting benchmarks for quality and efficiency

• Provide detailed feedback and explanations for your evaluations, helping to refine and

improve the LLM's understanding and output

• Collaborate with the AI research team to identify areas for improvement in the LLM's coding

capabilities

• Stay abreast of the latest developments in software engineering, coding standards, and AI to

ensure our evaluations remain cutting-edge

Required Qualifications:

• 3-5 years' development experience using Python or Java.

• Advanced degree in Computer Science, Software Engineering, or a related field

• Extensive experience in software development across multiple programming

languages(Python, Java) and paradigms

• Demonstrated ability to critically evaluate code quality, efficiency, and adherence to best

practices

• Strong analytical and decision-making skills, with the ability to make complex judgments

under ambiguous circumstances

• Excellent written and verbal communication skills, with the ability to explain technical

concepts clearly

• Experience with Docker

• Experience in technical writing, particularly in creating coding examples or tutorials

Preferred Qualifications:

• Previous experience working with or evaluating AI systems, particularly in the context of code

generation

• Familiarity with a wide range of software development methodologies and architectural

patterns

• Understanding of machine learning concepts, particularly as they apply to natural language

processing and code generation

• Experience in creating or contributing to coding standards or style guides

This role requires a unique blend of technical expertise, critical thinking, and communication

skills. You will be the bridge between advanced AI technology and practical, real-world coding

applications. Your work will directly influence the development of next-generation AI coding

assistants, shaping the future of software development.

If you're passionate about code quality, have a keen eye for detail, and are excited about the

potential of AI in software engineering, we encourage you to apply for this pivotal role at AGI

Data Services.

Role : AI Engineer

Location: Hyderabad

Exp: 5-10 Years

Mode: 5 Days ( WFO)

Interview : 2nd round F2F.

Ready to work either Morning or Mid shifts

Why This Role Matters

AI in healthcare RCM is transformative. Your ML models can predict claim denials before submission, detect fraudulent patterns, accelerate payment recovery, and unlock insights hidden in millions of healthcare transactions. Unlike traditional features, ML systems compound in value-they improve continuously, adapt to market changes, and deliver exponential ROI over time.

Key Responsibilities

• Design and implement ML models for healthcare revenue cycle applications (claim prediction, anomaly detection, outcome forecasting)
• Develop NLP solutions for healthcare document analysis, claim interpretation, and compliance classification
• Engineer production-grade ML pipelines with versioning, retraining, and A/B testing capabilities
• Implement MLOps practices including model monitoring, performance tracking, and automated retraining
• Work with large healthcare datasets, ensuring proper data preprocessing, feature engineering, and handling of missing/imbalanced data
• Collaborate with data scientists to translate research into production implementations
• Implement healthcare-compliant data pipelines that maintain HIPAA privacy and security standards
• Monitor model performance in production, diagnose drift, and implement remediation strategies
• Document model architecture, training procedures, and deployment runbooks for operational teams
• Stay current with ML research and emerging healthcare AI applications, proposing innovations to the product roadmap

Required Qualifications

• 5+ years of professional machine learning engineering experience with demonstrated production ML systems
• Advanced Python proficiency for ML development, data manipulation, and experimentation
• Strong SQL skills for large-scale data extraction and feature engineering
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Demonstrated expertise in MLOps practices (model versioning, monitoring, retraining pipelines)
• Experience with NLP and document analysis techniques
• Understanding of healthcare compliance requirements (HIPAA, SOC 2, FDA guidelines for software)
• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent advanced professional experience

Preferred Qualifications

• Healthcare domain expertise or experience applying ML in healthcare settings
• RCM industry knowledge or familiarity with healthcare claim processing
• Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
• Knowledge of responsible AI practices, model explainability, and bias mitigation
• Published research or contributions to ML open-source projects
• Experience with advanced NLP models (BERT, transformers, Large Language Models)

Position Overview

The Engineer, Artificial Intelligence supports the development and deployment of advanced artificial intelligence solutions. This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. The Engineer, Artificial Intelligence will work closely with data scientists, ML engineers, and product teams to translate business needs into scalable AI systems.

Essential Duties

Include, but are not limited to, the following:

• Support the execution of ML, NLP, LLM deliverables aligned with AI strategies.
• Contribute to the development of custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.
• Stay current with emerging AI/ML technologies and recommend innovative approaches.
• Apply best practices in data privacy, security, and biases in AI systems.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
• Professional experience in AI/ML model development.
• Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Demonstrated ability to learn new technologies.
• Demonstrated understanding of ethical considerations in AI systems.
• Strong analytical and problem-solving skills with understanding of AI/ML techniques.

Preferred Qualifications:

• Experience deploying Gen AI solutions at scale.
• Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation.
• Familiarity with human in the loop methods for aligning LLMs with human preferences.
• Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

AI ENGINEER

Who We Are?

Cleantech Industry Resources accelerates solar, wind, green hydrogen, battery storage, and EV infrastructure projects across the United States, India, and EMEA markets. The company provides turnkey "Development as a Service," powered by 100% internal systems engineering and a world-class team that comes out of some of the most reputed organizations in the renewables industry. This team operates within a sophisticated software and AI environment to support projects from land origination, through to commercial operation.

Location of Position:

• Chennai

What We Offer

• Opportunity to join a top-notch, collaborative team of professionals
• Fantastic team environment and collaborative culture
• Professional development opportunities to grow into an industry leader
• Medical Insurance for the employee and family
• Spot Recognition bonus for exceptional performance
• Long Term Incentive policy
• Regular team outings, events, and activities to foster a positive work environment

Our Commitment to Diversity

At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or na

Healthcare communication is broken. At PypeAI , we are building the "Operating Layer" for healthcare voice first agents that manage the entire patient journey, from clinical triage to automated follow-ups. We are building the infrastructure for autonomous healthcare coordination.

As an AI Engineer, you won't be on the sidelines; you’ll be at the core of our engine. You will work directly on our Voice-to-Voice (V2V) pipeline, pushing the boundaries of what’s possible in real-time, empathetic, and clinically reliable AI.

• Fine-tuning Models: Optimize domain-specific LLMs and Audio Models for medical accuracy and human-like prosody.
• V2V Pipeline: Engineer the cutting edge of STT (Speech-to-Text) and TTS (Text-to-Speech) to minimize latency to sub-second levels.
• Inference at Scale: Deploy and optimize models to handle thousands of concurrent, high-stakes medical conversations.
• Edge-of-the-Map Engineering: Work on the entire pipeline—from data synthesis to production-grade inference.

Qualification

We are looking for someone who doesn't just "use" AI but understands how it breathes.

• Experience: 1-5 years in AI
• You have hands-on experience with PyTorch/TensorFlow
• have fine-tuned models or trained from scratch
• You understand audio processing (sample rates,

Join Our Team as an AI Engineer at Helo.ai by VivaConnect

Location: Andheri, Mumbai

Working Days: Monday to Friday

Work Mode: Work from Office

About Helo.ai At Helo.ai by VivaConnect, we enable businesses to connect with their customers through powerful engagement channels at scale.

• SMS, WhatsApp, RCS, Voice, and Contact Centre solutions

• 24+ years of industry expertise

• 30+ billion engagements handled annually

• Partnerships with Meta, Google, and leading telecom operators We power communication infrastructure for enterprises that require reliability, automation, and intelligent customer engagement.

Why Build Your Career With Us

• Work on Generative AI-powered communication platforms

• Build production-grade conversational AI systems

• Deploy LLM-powered workflows across engagement channels

• Gain hands-on exposure to NLP, prompt engineering, and AI orchestration

Discover More About Helo.ai

• Website:

• LinkedIn:

• Instagram: lifeathelo.ai

The Role You’ll Play As an AI Engineer, you will design, develop, and deploy conversational AI and automation solutions across WhatsApp and digital engagement platforms. Your role will focus on:

• Building scalable conversational AI workflows

• Integrating LLM APIs into production-ready systems

• Supporting automation across engagement channels

• I

AI Research Intern — Publish With Us at Jetty AI

We are hiring an AI Research Intern to help publish real technical research emerging from Jetty AI systems including memory architectures for LLMs agent workflows and longitudinal personalization platforms like GutBut.

This is not a literature review internship.

You will help turn working production ideas into publishable research.

Current research areas include

persistent memory for AI systems

agent reasoning architectures

evaluation pipelines for LLM reliability

longitudinal personalization datasets

behavior driven memory decay models

enterprise safe AI deployment patterns

Example

One of the first projects you may contribute to is preparing the Cascading Temporal Memory Architecture research paper for workshop and journal submission.

Who should apply

Students in AI ML NLP or systems engineering

Researchers preparing for MS PhD or research careers

Engineers interested in publishing their first serious paper

Builders who already experiment with LLM workflows

Bonus if you already know

RAG architectures

evaluation harness design

prompt engineering patterns

knowledge graphs

agent pipelines

memory systems

What you will do

Convert whitepapers into publishable research draft

Job Title: AI Engineer

About Kumaran Systems

Kumaran Systems is a global technology solutions provider delivering innovative IT services and digital transformation solutions to clients worldwide. We foster a collaborative, growth-driven work culture and offer employees opportunities to work on global assignments, enabling both professional and personal development.

Role Overview

We are seeking a highly skilled AI/ML Engineer with strong expertise in Retrieval-Augmented Generation (RAG) systems and advanced AI model development. The ideal candidate will have hands-on experience building intelligent AI chatbots, integrating structured and unstructured data sources, and deploying scalable AI solutions in production environments .

This is a hybrid role based in Chennai / Bangalore .

Key Responsibilities:

• Design, develop, and deploy AI/ML models and intelligent systems for business applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using modern AI frameworks.
• Develop scalable AI solutions leveraging vector databases and NoSQL databases.
• Work with large datasets using distributed data processing frameworks.
• Implement machine learning models using deep learning frameworks.
• Build and integrate AI pipelines using L

Job Description: AI Developer

Job Overview:

We are seeking a skilled AI Developer to design, build, and deploy autonomous AI agents from scratch. This role involves creating intelligent systems that can perceive environments, make decisions, and execute actions in real-world or simulated scenarios. You will leverage machine learning, Python, and specialized frameworks like LangChain and LangGraph to develop scalable AI agents for applications such as automation, robotics, virtual assistants, or multi-agent simulations.

Key Responsibilities

Architect and implement AI agents from the ground up using frameworks such as LangChain for chaining LLMs and tools, and LangGraph for stateful, graph-based agent workflows, including perception modules (e.g., using computer vision or NLP), decision-making logic (e.g., via reinforcement learning or planning algorithms), and action execution components.

Develop and train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to enable agent learning and adaptation, integrating with LangChain/LangGraph for advanced agent orchestration.

Integrate AI agents with external systems, APIs, databases, and environments (e.g., simulation tools like OpenAI Gym or real-world interfaces), ensuring seamless tool usage and memory management via LangChain components.

Optimize agents for performance, scalabili

About the Company : Simplify Healthcare is a leading healthcare IT company, founded in 2008, dedicated to empowering health insurance providers through cloud-based, automation-driven solutions. Our latest venture — an agentic AI platform — leverages cutting-edge language models and retrieval-augmented generation (RAG) to revolutionize payer operations.

About the Role : As a Sr. Software Engineer- AI & ML, you’ll be at the core of designing and building our agentic AI and conversational intelligence platform that supports use cases such as claims automation, provider queries, and policy insights. You’ll work with advanced tools and frameworks to architect intelligent agents and RAG pipelines that deliver real-time, context-aware responses.

Responsibilities :

• Design and build LLM-based RAG pipelines with vector databases (e.g. Azure Cognitive /AI Search).
• Develop conversational AI agents using LangChain, Python, and agentic frameworks.
• Fine-tune or prompt-tune LLMs (Azure OpenAI) for domain-specific use cases in healthcare insurance.
• Integrate structured/unstructured data sources (MongoDB, MSSQL, etc.) for context injection into AI pipelines.
• Create scalable APIs (FastAPI) to serve AI models and handle requests in real-time production environments.
• Collaborate with product and data teams to design data pipeli

Immediate Joiners only. This is a 100% remote role but strict background checks will be conducted on candidates to prevent any possibility of moonlighting. The client is based out of US so primarily working according to IST time zone but there will be an overlap PST time zone.

Company Description

Infotron is a vibrant, agile, and focused consulting firm dedicated to helping clients achieve their goals. We pride ourselves on maintaining a healthy network of highly skilled professionals. At Infotron, we provide the resources needed to navigate complex challenges and drive success. Join us to be a part of a dynamic and supportive work environment.

AI Engineering Consultant – Generative AI

Are you passionate about shaping the future of artificial intelligence? We’re looking for a forward-thinking AI Engineering Consultant who thrives on solving complex problems and is eager to redefine how businesses leverage Generative AI. In this role, you’ll be instrumental in crafting, implementing, and scaling next-generation AI solutions tailored to real-world client needs. If you're driven by impact and excited about building transformative AI applications, we want to hear from you.

Your role:

• Collaborate with cross-functional teams—including designers, engineers, and product managers—to build Gen AI products that are practical, scalable, and client-ready.
• Translate intricate busi

About the role

We're hiring an AI Engineer to help us turn client problems into working software. You'll work directly with founders and operators across industries, figuring out where AI genuinely belongs in their business and shipping it quickly.

You won't be training models from scratch. You'll be choosing the right ones, integrating them well, and making sure they hold up in production.

What you'll do

· Design and build LLM-powered workflows that solve real operational problems for our clients

· Set up evaluation frameworks so we can measure whether what we ship is actually working

· Build retrieval, search, and agentic systems, and know when simpler approaches are the better answer

· Work with non-technical stakeholders to scope what should be built before writing code

· Keep up with new model releases and translate them into practical recommendations for clients

What we're looking for

· 2 to 4 years of engineering experience, with at least one production project involving LLMs or modern AI APIs

· Strong proficiency in Python; comfort with one other language (TypeScript, Go, or similar) is a plus

· Hands-on experience with at least one major model provider (OpenAI, Anthropic, Google) and a working understanding of when to use each

· Familiarity with retrieval, structured outp

Role Overview:

We are seeking a highly experienced, hands-on AI Engineering leader to:

• Co-lead a 50+ member software engineering team along with our Senior Vice President - Technology Services

• Architect and deliver AI-first healthcare platforms

• Drive adoption of AI-assisted development (Claude, LLMs, automation tools)

• Transform the software division into a modern AI-powered engineering organization This role requires a strong on-site presence in Bengaluru and deep expertise in both:

• AI/ML systems (especially LLM-based solutions)

• Scalable enterprise software delivery

Key Responsibilities AI Strategy & Execution

• Define and execute the company’s AI roadmap across:

o medical scribing automation o AI-assisted medical coding

o Virtual medical office solution (VMOS) platforms

o Revenue Cycle Management (RCM)

• Build LLM-powered solutions using tools like Claude and similar platforms

• Identify opportunities for automation and efficiency gains Engineering Leadership

• Lead, mentor, and scale a 70+ engineering team

• Establish strong engineering practices, coding standards, and delivery discipline

Leader in Virtual Medical Office Solutions

• Drive agile development, DevOps, and CI/CD adoption

• Ensure high-quality, scalable, and secure software delivery. AI Adoption & Training

• Train and enable engine