Senior GenAI Solution Engineer (all genders)
EUR 65K-84K (estimate) Mid-level Full Time
Tasks
- Apply guardrails in agent workflows
- Assess technical feasibility
- Build backend AI services in Python
- Collaborate with customers in workshops
- Create intelligent documentation
- Design autonomous agent systems
- Develop end-to-end GenAI solutions
- Develop retrieval-augmented generation pipelines
- Ensure code quality with clean architecture
- Implement automated testing for AI systems
- Implement evaluation for accuracy latency and cost
- Implement tool calling with memory management
- Integrate LLMs into production systems
- Integrate agentic SDLC into software development
- Monitor GenAI solution performance
- Perform AI assisted coding and code reviews
- Set up CI/CD pipelines for deployments
- Translate AI concepts into business impacts
Perks/Benefits
- Company bike
- Company events
- Fitness membership subsidy
- Flexible working hours
- Home office
- Training and development
Skills/Tech-stack
AWS Bedrock | Anthropic API | Async | Azure OpenAI | CI/CD | Clean architecture | Concurrency | Cost Optimization | Dependency Injection | Docker | Embeddings | FastAPI | Function Calling | Git | Guardrails | Integration Testing | JSON | Latency optimization | Learning evaluation | Machine Learning | Machine learning evaluation | Memory Management | Monitoring | ORM | OpenAI API | PGVector | Prompt engineering | Pydantic | Pydantic AI | Python | Re-ranking | Retrieval-Augmented Generation | SOLID | SQLAlchemy | Tool-Calling | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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