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 strong 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
- Strong 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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📌 AI Engineer (Chennai)
🏢 Infotel UK
📍 Chennai