AI Fullstack Developer

- AI Engineer – Agentic AI, Multi-Agent Systems & RAG We’re looking for an experienced AI Engineer to build production-grade agentic AI systems, multi-agent workflows, and high-performance RAG pipelines. You’ll design intelligent agent workflows, integrate vector databases and external APIs, build custom tools/function-calling pipelines, and optimize systems for accuracy, latency, reliability, and scalability. - What You’ll Do Build multi-agent workflows with LangGraph/LangChain and robust state & memory management Design and optimize RAG pipelines, hybrid search, embeddings, and vector retrieval Integrate LLMs, APIs, tools, function calling, and structured outputs Implement retries, fallbacks, observability, and error handling Evaluate agent/RAG performance, hallucination, retrieval quality, and execution accuracy Process and embed PDFs, JSON, web content, and other unstructured data -Tech Stack Python / TypeScript LangGraph / LangChain OpenAI / Anthropic / Gemini RAG / Agentic AI / Multi-Agent Systems Pinecone / Qdrant / Weaviate / pgvector FastAPI / Node.js MCP (Model Context Protocol) Function Calling / Structured Outputs Ragas / LangSmith / TruLens PostgreSQL / Redis Docker / REST APIs