Senior AI/ML Engineer (Agentic Systems & LLM)

Job Requirements Senior Engineer with 5-8 years of experience in data analysis with applied AI/ML. Hands-on experience with Gemini, OpenAI, or Anthropic APIs — including streaming, tool use, structured outputs Resource to translate business problems into analytical and ML solutions, build and evaluate models and collaborate with product and engineering to ship and measure outcomes. Work Experience Candidate with engineering (CSE) background with 5-8 years software engineering, including 1+ years on production LLM/agentic systems Strong Python (3.10+), with deep familiarity in FastAPI, asyncio, structured logging Hands-on experience with Gemini, OpenAI, or Anthropic APIs — including streaming, tool use, structured outputs Production experience with agent frameworks (LangChain, LangGraph, AutoGen, or custom orchestration) Demonstrable understanding of prompt engineering as a discipline — versioning, A/B testing, golden sets Experience with vector databases (FAISS, Pinecone, Vertex Matching Engine) and embedding pipelines Solid grasp of distributed systems patterns — message queues, event-driven architecture, idempotency