AI Engineering Workflow Developer (mf/d)
Tasks
- Build scripts connecting Git repositories
- Connect internal model endpoints
- Correct AI generated inaccuracies
- Create code summarization utilities
- Create glossary entries
- Document model strengths limitations risks
- Extract dependencies from codebases
- Generate documentation automatically
- Implement AI assisted engineering utilities
- Improve workflow quality over time
- Integrate CI CD logs
- Integrate documentation stores
- Integrate issue trackers
- Maintain repository indexing utilities
- Parse logs
- Prepare build observations
- Prepare codebase handover summaries
- Prepare service notes
- Provide usage guidance for models
- Test coding models in approved environments
- Validate AI generated outputs in reviews
Perks/Benefits
- 26 plus working days vacation
- Childcare support
- English and German language classes
- Flexible working hours
- Free access to specialist services
- Hybrid work model
- International mentoring sessions
- Life and accident insurance
- Life insurance
- Meal vouchers
- Telemedicine
- Training budget
- Transport allowance
Skills/Tech-stack
CI/CD | Docker | FastAPI | Git | GitHub API | GitLab API | Helm | Jenkins | Kubernetes | LLM APIs | Langchain | Linux | Llamaindex | Log Parsing | Markdown | Prompt engineering | Python | RAG | Shell Scripting | Testing
Education
N/A
Roles
AI | AI Engineer | DevOps | DevOps Engineer | Engineer | Software Engineer
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