Python Backend Engineer - AI Service Operations

ALTEN Consulting GmbH
Hamburg, Germany
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English

Tech stack

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
+8 more
Flask (Web Framework) Large Language Models Backend Git Fastapi Codebase Restful APIs Docker

Job 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

Requirements

  • 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

Benefits & conditions

A home where people learn and thrive

  • Permanent Employment
  • Attractive Salary
  • Mobile working in consultation
  • Individual Trainings
  • Flexible Working Hours
  • Employee Events
  • Wellpass

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