Explore Job Opportunities in India

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Location: Remote / Hybrid

Department: Engineering

Reports To: VP of AI Engineering

About Wellness Coach

At Wellness Coach, we're reimagining the future of well-being. Our mission is to help millions of people live healthier, more mindful, and more balanced lives - powered by technology, compassion, and science.

We're building next-generation AI-driven wellness solutions - from intelligent conversational systems to personalized coaching experiences - and we're looking for a Senior AI Engineer who's ready to push the boundaries of what AI can do for humanity.

What You'll Do

As a Senior AI Engineer, you'll lead the design and deployment of Generative AI and LLM-based applications that make wellness more personal, intelligent, and accessible.

You'll research, architect, and productionize cutting-edge systems - working at the intersection of deep learning, language modeling, and scalable backend engineering.

Core Responsibilities

Research & Experimentation:

• Stay at the frontier of GenAI, LLMs, and agentic systems. Explore and extend frameworks like LangGraph, adaptive RAG, and NL2SQL, and integrate long-term memory tools such as Mem0 or graph-based memory layers to sustain context and coherence across user interactions.

End-to-End Engineering:

• Design, build, and deploy AI applications using FastAPI, Python, Vector Databases, and modern ML stacks.

System Ownership:

• Manage the full ML lifecycle - from data pipelines and model training to evaluation, monitoring, and scaling.

Collaboration:

• Work closely with product, design, and customer teams to deliver impactful, AI-enhanced experiences.

Communication:

• Translate complex AI concepts into clear insights for both technical and non-technical audiences.

What We're Looking For

Experience

• 3+ years of hands-on experience in machine learning, LLMs, or Generative AI.
• Proven track record of deploying AI models into production environments.
• Strong understanding of ML architectures, data structures, and system design.

️ Technical Skills

• Languages & Frameworks: Python (expert), PyTorch, TensorFlow, JAX
• GenAI Stack: LangChain, LangGraph, RAG, AI Agents, NL2SQL, MCP
• Backend & Infra: FastAPI, Node.js, MongoDB, Vector DBs (e.g., Pinecone)
• MLOps & Productivity: CI/CD, containerization, and AI IDEs like Cursor

Education

• Bachelor's or Master's in Computer Science, Engineering, Math, or related field
• Ph.D. or equivalent research experience in AI/ML/NLP is a plus

Soft Skills

• Excellent communication and storytelling - able to translate AI into business impact.
• Analytical mindset and creative problem-solving skills.
• Self-starter with a passion for innovation, wellness, and human-centered technology.

Why Join Wellness Coach

Build real-world AI that improves people's lives

Collaborate with a global, mission-driven team

️ Work in a culture that values balance, creativity, and growth

Access to top-tier AI infrastructure and mentorship

Competitive compensation and flexible work environment

Greetings from TCS

TCS is hiring Data Modelers

Location - PAN India

Experience - 4-15 years

Job Title: Data Modeler / Lead

Job Summary: An experienced Data Modeler / Lead to design, develop, and maintain data models that support business intelligence and data analytics initiatives. The ideal candidate should have a strong background in data modeling, data warehousing, and data governance.

Responsibilities:

• Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models.

• Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions.

• Data Governance: Develop and maintain data governance policies, procedures, and standards.

• Data modeling techniques for data warehouses primarily include dimensional modeling (star, snowflake schemas) and relational modeling (3NF)

• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.

• Data Quality: Develop and implement data quality checks and data validation rules.

Required Skills:

• Data Modeling: In-depth knowledge of data modeling concepts, including entity relationship modeling, dimensional modeling, and data vault modeling.

• Data Warehousing: Strong understanding of data warehousing concepts, including ETL, data marts, and data lakes.

• Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.

• Communication: Excellent communication and collaboration skills.

• Tools: Proficiency in data modeling tools, such as ERwin, Informatica PowerDesigner, or IBM InfoSphere Data Architect.

Preferred Skills:

• Certifications: Relevant certifications, such as Certified Data Modeler (CDM) or Certified Data Warehouse Architect (CDWA).

• Big Data: Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.

• Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.

• Programming: Experience with programming languages, including SQL, Python, or R