Senior GenAI Engineer – Python

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About the Client We are seeking experienced Senior GenAI Engineer – Python and cloud-native application development. In this role, you will design, build, and optimize scalable backend systems that power AI-driven and intelligent automation solutions in the cloud. What you will do Build LLM-powered features end to end. Design and implement agentic flows, retrieval, and tool calling using LangGraph — then ship them as FastAPI services with streaming, persistence and proper tests. Own answer quality. Build evaluation datasets, regression suites and LLM-as-judge checks so we know whether a prompt or model change made things better before it reaches users. Get the right context to the model. Turn user questions into effective queries against our search platform, orchestrate multi-step research loops, and shape the context the model reasons over. When an answer is wrong, work out whether retrieval, the query or the prompt is at fault — and fix the right one. Debug production. Instrument flows with tracing (Langfuse), investigate bad answers from real traces, and manage latency, token and cost budgets — including routing across model sizes and families behind an AI gateway. What we are looking for: Strong proficiency in Python for backend development (FastAPI, Flask, Django, or similar frameworks). Deep understanding of software architecture, design patterns, and API development. Solid experience with Azure cloud services, including containerization (Docker, Kubernetes), storage, a

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