AI Engineer

Experience: 3-8 Years

Location: Mumbai

RESPONSIBILITIES

• Implement RAG pipelines — document ingestion, chunking, embedding, vector store loading, retrieval and response generation
• Build agentic workflows — LLM-driven processes with tool use, loops and error handling
• Integrate LLM APIs into product features — extract, classify, summarise and generate structured outputs
• Write and maintain an LLM evaluation suite — test cases, metrics, regression tracking
• Build FastAPI endpoints that expose AI capabilities to other services and front-ends
• Participate in design reviews and contribute to architecture decisions

REQUIRED SKILLS

• Python — clean, reviewable, testable code. Not script-level, production-level.
• LLM API usage — OpenAI, Anthropic or Azure OpenAI SDK. Streaming, function calling, token management.
• RAG implementation — has built at least one retrieval pipeline end-to-end
• Vector databases — has loaded and queried at least one (Pinecone, Chroma, Weaviate, pgvector)
• FastAPI — has built and deployed at least one REST API
• Git and Docker — standard development workflow

ADDITIONAL SKILLS (increase placement level)

• LangChain, LlamaIndex or LangGraph X— used in a real project, not documentation examples
• LLM evaluation — has built automated test suites, not just manual review
• Agent design — can design a tool-use loop with memory and error recovery, not just implement one Fine-tuning — has fine-tuned a model (LoRA/QLoRA) and understands when to use it