AI Engineer

Stack

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Descrizione

At PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We help our customers develop innovative solutions through digitalization and cloud computing. As an AI Engineer, you will build Python backend services and integrate large language models, retrieval pipelines, and AI agents into practical business applications. Requirements Design and develop Python backend services and APIs using Django, FastAPI, and Uvicorn. Build RAG pipelines with chunking, embeddings, hybrid retrieval, reranking, and vector databases. Develop AI agents and tool integrations using orchestration frameworks and Model Context Protocol (MCP). Manage versioned, composable system prompts and implement agent and tool policies. Evaluate and monitor LLM applications, optimizing quality, token costs, latency, and streaming performance. Maintain reliable services with automated tests, database migrations, Docker, and GitLab CI Your profile Strong Python development skills and experience with Django or FastAPI. Experience with PostgreSQL, Redis, Celery, and Docker. Practical understanding of LLM applications, RAG, embeddings, vector search, and retrieval quality. Experience with agent orchestration frameworks such as Google ADK, Haystack, or LangGraph. Familiarity with prompt engineering, tool calling, and MCP integrations. Experience building documented APIs with OpenAPI, writing tests with pytest, and managing database migrations. Ability to translate bus

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