Lead AI Engineer
Infotel It Consulting · Chennai · onsite · Posted 54d ago
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About this role
Description
AI Engineer Generative AI / Agentic AI
Location:** Ramanujam IT City, Tharamani,Chennai, India
Experience:**8 to 15 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
- Weaviate
- Milvus
Backend & APIs
- FastAPI / Flask
- REST APIs
- Async programming
- Webhooks and integrations
Cloud & Deployment
Experience in one or more:
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- OpenAI APIs
- AWS / Azure / GCP
Additional Preferred Skills
- Docker & Kubernetes
- CI/CD pipelines
- Monitoring & observability
- PostgreSQL / DynamoDB / MongoDB
- Knowledge Graphs / GraphRAG
- Multimodal AI systems
- AI evaluation frameworks
- MCP / AI tool ecosystem
Qualifications
- Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field
- 3+ years of software engineering experience
- Minimum 1–2 years of hands-on GenAI project implementation experience
- Experience building production AI applications preferred
Good to Have
- Experience with enterprise AI governance and responsible AI
- Exposure to fine-tuning and model optimization
- Open-source contributions or AI portfolio projects
- Experience in scalable distributed systems
What We Offer
- Opportunity to work on cutting-edge enterprise AI solutions
- Exposure to Agentic AI and next-generation AI architectures
- Fast-paced innovation environment
- Career growth in one of the fastest-growing technology domains
Sourced from naukri