Senior GenAI Engineer

This is a remote position. We are looking for a Senior AI Engineer to join a team building and operating a production-grade LLM system used by real users. This is not a proof-of-concept project.

You will be responsible for taking LLM-powered features from idea through development and deployment to continuous improvement, with a strong focus on answer quality, performance, observability and cost efficiency.

You will work with modern LLM technologies, including LangGraph, RAG, tool calling, Azure OpenAI, Gemini and Claude, and have a real impact on how AI-powered products are built and operated in production.

Responsibilities

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.

Requirements

Experience in building and operating backend services - APIs, async, testing Hands-on experience taking LLM features to production and keeping them running - not only prototypes Agent / orchestration frameworks - LangGraph ideally Practical RAG experience Experience debugging LLM systems in production - tracing, evaluation, cost and latency Experience running services in the cloud (we're on Azure) Strong problem-solving skills, analytical thinki