Senior Artificial Intelligence Engineer

EPAM Systems Inc; Pune District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Epam Systems in Pune and other Indian tech hubs seeks a Senior AI Engineer to build and scale GenAI solutions for enterprise clients. You will lead design of multi-agent systems and RAG pipelines, optimizing models for performance and integrating with cloud services and back-end systems.

The role emphasizes governance, ethics, and robust AI engineering practices, working across teams to deliver scalable AI capabilities.

Qualifications

• 6+ years of experience in AI/GenAI.
• Hands-on with building and deploying enterprise AI solutions.
• Strong Python programming and software engineering fundamentals.
• Experience with multi-agent systems and RAG pipelines is a plus.
• Exposure to cloud platforms and backend integrations.

Responsibilities

• Build and deploy LLMs, GenAI, and agentic AI solutions.
• Design and lead multi-agent systems architectures.
• Architect and implement RAG pipelines for enterprise data.
• Optimize AI models for performance and scalability.
• Integrate AI with cloud platforms, APIs and backend systems.
• Drive CI/CD deployments and AI engineering best practices.
• Ensure AI governance, ethics, and operational safety.

Skills

Python

communication

team collaboration

problem solving

Tools

LangChain

LangGraph

AgentBricks

AWS AgentCore

Microsoft Foundry

Gemini Agent Studio

Snowflake Cortex Agents

Azure AI

AWS Bedrock

Databricks Mosaic AI

Gemini Enterprise

Snowflake Cortex

Docker

Kubernetes

CI/CD pipelines

Job description

Role & responsibilities

Looking to work on cutting-edge GenAI, LLMs, and Agentic AI systems? This is your chance to build and scale next-gen AI solutions at an enterprise level.

Were Hiring: Senior AI Engineer

Role: Senior / Lead AI Engineer

Location: Pune, Bangalore, Hyderabad , Chennai, Coimbatore
Experience: 6+ years in AI/GenAI

What Youll Do:

• Build & deploy LLMs, GenAI, and Agentic AI solutions
• Design and lead multi-agent systems
• Architect and implement RAG pipelines
• Optimize AI models for performance and scalability
• Integrate AI solutions with cloud platforms, APIs, and backend systems
• Drive CI/CD deployments and AI engineering best practices
• Ensure AI governance, ethics, and AgentOps

Skills Were Looking For:

• Strong Python expertise
• Experience with LangChain, LangGraph
• Hands-on with enterprise AI frameworks like AgentBricks, AWS AgentCore, Microsoft Foundry, Gemini Agent Studio, Snowflake Cortex Agents, Azure AI
• Exposure to AWS Bedrock, Databricks Mosaic AI, Microsoft Foundry, Gemini Enterprise, Snowflake Cortex
• Familiarity with Docker, Kubernetes, CI/CD pipelines

Nice to Have:

• Background in Data Engineering / Data Science
• Experience working on data-driven projects (2+ years)

Soft Skills Matter:

• Strong communication skills
• Ability to collaborate across teams and drive delivery

If you're passionate about building scalable AI systems and shaping the future of enterprise AI, we'd love to connect!