> Markdown version of [/jobs/ext/3859832-python-backend-engineer-ai-service-operations](https://www.wearedevelopers.com/jobs/ext/3859832-python-backend-engineer-ai-service-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Backend Engineer - AI Service Operations - **Company:** ALTEN Consulting GmbH - **Location:** Hamburg, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Continuous Integration, Software Debugging, Distributed Systems, Monitoring of Systems, PostgreSQL, SQL Databases, Spring Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Backend, Git, Fastapi, Codebase, Restful APIs, Docker - **Published:** October 22, 2026 - **Apply:** https://jobs.alten-consulting.de/job/apply/507241?page_lang=de ## About the Role * have a completed vocational training, university degree, or equivalent professional experience in Computer Science, Software Engineering or a related technical field * bring strong professional experience in Python backend development, including FastAPI, Flask or comparable frameworks, as well as debugging and maintaining complex codebases * possess solid expertise in REST APIs, PostgreSQL, SQL, data modeling, automated testing and collaborative Git-based development workflows * have hands-on experience with Docker, CI/CD pipelines, cloud-native applications, monitoring tools and distributed systems; AWS experience is considered a strong advantage * understand AI-powered applications, including LLM integrations, RAG concepts, vector databases and AI service architectures, and are fluent in English with excellent communication skills in an international environment ## Description * take technical ownership for the reliable operation, monitoring and continuous improvement of AI-powered applications in production * investigate incidents, perform root cause analyses and resolve issues across Python backends, React frontends, APIs, databases and AI integrations * implement bug fixes, hotfixes and technical improvements while ensuring high code quality through testing, peer reviews and CI/CD processes * optimize application performance, monitoring, logging, alerting and resilience while automating recurring operational activities * collaborate closely with AI engineers, cloud teams, platform teams and business stakeholders to support deployments, hypercare phases and operational excellence * maintain technical documentation, troubleshooting guides and operational runbooks while supporting knowledge transfer and long-term application stability