Description
AI Engineer – Generative AI / Agentic AI
Location: Chennai, India
Experience: 3–7 Years
Employment Type: Full time
About the Role
We are looking for a hands-on AI Engineer to design, develop, and deploy production-grade Generative AI applications and intelligent AI agents. The ideal candidate should have solid Python engineering skills and practical experience building LLM-powered systems using RAG pipelines, vector databases, orchestration frameworks and cloud AI platforms.
You will work on enterprise AI solutions including conversational AI, document intelligence, AI copilots, agentic workflows, knowledge assistants and AI automation platforms.
Key Responsibilities
Design and develop enterprise-grade Generative AI applications
Build scalable RAG (Retrieval-Augmented Generation) pipelines
Develop AI agents and multi-agent workflows using modern orchestration frameworks
Integrate LLMs with enterprise systems, APIs, databases and business workflows
Implement prompt engineering, evaluation pipelines, guardrails and AI safety mechanisms




Build conversational AI systems with memory and context management
Work with vector databases for semantic retrieval and knowledge search
Develop REST APIs and backend services for AI applications
Optimize latency, cost, scalability, and reliability of AI systems
Collaborate with frontend, DevOps, and business teams for production deployment
Participate in architecture discussions and AI innovation initiatives
Required Skills
Core AI / GenAI Skills
Solid hands-on experience with Python
Experience with LLMs and Generative AI applications
Practical implementation experience in:
RAG pipelines
AI agents / Agentic AI
Prompt engineering
Conversational AI
Tool calling and workflow orchestration
Frameworks & Libraries
Experience in one or more:
LangChain
LangGraph
LlamaIndex
CrewAI
AutoGen
OpenAI SDK / Anthropic SDK
Vector Databases
Experience with:
ChromaDB
Pinecone
FAISS
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