Ihre Aufgaben:
* The role focuses on building production-grade AI applications and LLM pipelines, with a strong emphasis on scalability, observability, and modern development practices
* Develop production-grade Python applications using FastAPI, including async patterns and clean/easy patterns
* Build and manage LLM pipelines using OpenAI SDK, LangChain, or LangGraph
* Apply prompt engineering techniques, including structured outputs and Human-in-the-Loop (HITL) design
* Ensure LLM observability, meaning continuous monitoring, understanding, and analysis of LLM behavior in production (e.g., GPT, Copilot)
* Work with REST APIs and event-driven architectures
* Handle PostgreSQL databases and manage upstream/downstream data contracts
* Use AI coding tools such as GitHub Copilot, Codex, Claude Code, or similar
* Implement CI/CD pipelines, Docker-based environments, and follow testing best practices (testing pyramid)
Ihre Qualifikationen:
* Strong Python expertise with production-grade development (FastAPI, async patterns)
* Experience with LLM pipelines (OpenAI SDK, LangChain, LangGraph or similar)
* Solid prompt engineering skills (structured outputs, HITL concepts)
* Understanding of LLM observability (monitoring and analyzing LLMs in production environments)
* Experience with CI/CD pipelines, Docker, and testing strategies (testing pyramid)
* Experience with REST APIs and/or event-driven APIs
* Database experience, especially PostgreSQL
* Familiarity with AI coding tools (GitHub Copilot, Codex, Claude Code, etc.)
* Knowledge of data contracts (upstream/downstream integration)
Ihre Vorteile:
* Location: remote
* Language: English