Lead GenAI Engineer

Job description

You might be our missing piece if you have: Strong Python skills and a solid foundation in software engineering—clean architecture, version control, readable code, and good engineering judgment. Experience building and shipping production-grade backend applications with FastAPI, Flask, or Django. A proven track record of designing and scaling ML and/or GenAI systems in production, from data pipelines and deployment to monitoring, optimization, and evaluation. Hands-on experience with GenAI frameworks such as LangChain, LangGraph, ADK, or Haystack. A good understanding of commercial LLM APIs (such as OpenAI, Anthropic, and similar providers), including where they shine, where they fall short, and how to work with those trade-offs. Strong experience with RAG systems, including embeddings, vector search, document retrieval, chunking strategies, reranking, and context construction. Experience designing AI-powered product architectures, including multi-agent systems, tool-using agents, orchestration flows, and inference architectures. A solid understanding of agentic workflows—planning, memory, tool use, handoffs, and how to make multi-step systems work reliably in practice. Experience...