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
Job source
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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