Source description
About the role
AI Engineer Python, Langchain, LangGraph, Agentic AI, API, LLMs Location: Bengaluru Experience: 715 Years Notice Period: Immediate Joiners or Serving Notice Period Preferred Build and deploy LLM-powered applications using Python (production-grade, scalable code) Develop agentic workflows using LangChain and LangGraph (tools, memory, orchestration) Design and implement multi-agent / autonomous agent systems with task planning and routing Integrate and consume LLM APIs (OpenAI/Azure OpenAI/other) with robust error handling and retries Develop and expose services via REST APIs (FastAPI/Flask preferred) for AI features and integrations Implement prompt engineering, structured outputs, and guardrails for reliable responses Build RAG pipelines (retrieval, embeddings, vector stores) to ground LLM responses on enterprise data Evaluate, test, and monitor LLM solutions (quality, latency, cost, safety) and optimize continuously Compensation: 300,000.00 - 2,200,000.00 per year Work Location: In person .