Senior Data Science AI Engineer

Epam Systems; Hyderabad, Chennai District, Bengaluru; Hybride; INR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

Epam Systems in India is seeking a Senior AI Engineer to design, implement, and scale GenAI solutions for enterprise workloads. You will build and deploy LLMs, multi-agent AI systems, and RAG pipelines, while driving performance, reliability, and governance across cloud platforms and backend services.

The ideal candidate has 6+ years in AI, strong Python, and practical experience with Lang Chain, Lang Graph, and enterprise AI frameworks.

Qualifications

• 6+ years in AI/Gen AI
• Hands-on with enterprise AI frameworks like Agent Bricks, AWS Agent Core, Microsoft Foundry, Gemini Agent Studio, Snowflake Cortex Agents, Azure AI
• Experience deploying LLMs, Gen AI, and multi-agent systems
• Familiar with RAG pipelines and AI governance/ethics
• Proficient in Python and cloud integrations
• Experience with Lang Chain, Lang Graph
• Experience with Docker, Kubernetes, CI/CD
• Strong collaboration and communication skills

Responsabilités

• Build & deploy LLMs, Gen AI, 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 Agent Ops

Connaissances

Python

Lang Chain

Lang Graph

CI/CD

Outils

Agent Bricks

AWS Agent Core

Microsoft Foundry

Gemini Agent Studio

Snowflake Cortex Agents

Azure AI

Docker

Kubernetes

Description du poste

Role & responsibilities

Senior AI Engineer

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.

Role: Senior / Lead AI Engineer

Location: Pune, Bangalore, Hyderabad , Chennai, Coimbatore

Experience: 6+ years in AI/Gen AI

What You'll Do:

• Build & deploy LLMs, Gen AI, 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 Agent Ops

Skills Were Looking For:

• Strong Python expertise
• Experience with Lang Chain, Lang Graph
• Hands-on with enterprise AI frameworks like Agent Bricks, AWS Agent Core, 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!