Senior Python / GenAI Engineer (RAG & LLM Systems)
Berlin, Germany
R
A EUR 51K-70K (estimate) Senior-level Full Time
Tasks
- Apply security best practices for AI applications
- Build deploy and operate Python backend systems
- Build vector search with vector databases
- Create automated tests
- Design AI-driven enterprise solutions
- Design and manage SQL and NoSQL databases
- Develop LLM and RAG solutions
- Develop web services with Python
- Document architectural decisions
- Implement prompt engineering
- Integrate LLM APIs
- Mentor engineers through code reviews
- Optimize performance in production
- Orchestrate AI agents and workflows
- Set up CI/CD pipelines
Perks/Benefits
- Certification opportunities
- Collaborative team
- Continuous learning
- Cross-industry projects
- Flexible work arrangements
- Hybrid work model
- Personal and professional development
Skills/Tech-stack
AI Services | Anthropic API | Automated testing | Azure AI | Azure AI Services | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Best practices | CI/CD | Cognitive Services | Django | Faiss | FastAPI | Generative AI | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Mistral API | NoSQL | OpenAI API | OpenAI Service | Performance optimization | Pinecone | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Security best practices | Vector Databases | Weaviate
Education
N/A
Language: en
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