Job Description :

AI Engineer - GenAI / Agentic AI

Location : Pune

Work Mode : Hybrid

Experience : 5+ Years

Role Overview :

We are looking for an experienced AI Engineer with strong hands-on expertise in Generative AI, NLP, LLMs, RAG, GraphRAG, and Agentic AI. The ideal candidate should have strong Python programming skills and proven experience in developing and deploying production-grade GenAI applications. The candidate should be comfortable working across the complete AI application lifecycle, from solution design and architecture to development, testing, deployment, and production support.

Key Responsibilities :

- Design and develop enterprise-grade Generative AI and LLM-based applications.

- Build and implement RAG and GraphRAG solutions.

- Develop Agentic AI and Multi-Agent systems.

- Implement prompt engineering, prompt optimization, tool calling, memory management, and agent workflows.

- Work with LLMs such as OpenAI GPT, Claude, Gemini, Llama, and Mistral.

- Develop scalable and maintainable applications using Python.

- Work with vector databases and semantic search technologies.

- Implement automated evaluation frameworks to measure AI output and retrieval quality.

- Develop and maintain unit/integration tests using Pytest.

- Use Docker, Git, code reviews, and modern software engineering practices.

- Take ownership of AI solutions from architecture through production deployment and support.

Mandatory Skills :

- 5+ years of software engineering / AI engineering experience.

- 2 - 3+ years of hands-on Generative AI / LLM development.

- 3+ years of NLP experience.

- Strong Python programming experience.

- Hands-on experience with RAG and GraphRAG.

- Strong experience with Agentic AI and Multi-Agent systems.

- Strong Prompt Engineering and Prompt Optimization skills.

- Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, or similar frameworks.

- Experience with vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, Milvus, or OpenSearch.

- Proven experience developing and deploying production-grade GenAI applications.

Good to Have :

- Experience with AWS Bedrock or Azure OpenAI.

- Knowledge of Model Context Protocol (MCP).

- Experience with cloud-based AI platforms.

- CI/CD and DevOps experience.

Preferred Candidate Profile :

- Candidates with experience as GenAI Engineer, AI Engineer, LLM Engineer, Agentic AI Developer, Applied AI Engineer, AI Application Engineer, or Generative AI Engineer are preferred.

- Important: Candidates should have hands-on production experience with GenAI applications and not only POCs, academic projects, or notebooks.