Senior AI Engineer (f/m/d)
Tasks
- Build data pipelines for LLM and RAG
- Create evaluation frameworks for LLM and RAG
- Define AI engineering standards
- Design integration layers with enterprise platforms
- Develop full stack GenAI and ML applications
- Ensure compliance and data protection alignment
- Ensure responsible AI governance and documentation
- Establish best practices for security scalability performance and observability
- Implement retrieval and embedding workflows
- Implement risk controls and model evaluation standards
- Industrialize prototypes into production platforms
- Lead GenAI and ML architecture
- Prototype and validate AI solutions
- Provide technical mentorship through design reviews
Perks/Benefits
- Career development opportunities
- Company pension savings plan
- Company share purchasing plan
- Flexible working hours
- Hybrid work model
- Learning and development programs
- Mental health and wellbeing programs
- Volunteering time
Skills/Tech-stack
AI Agents | AI Search | Autogen | Azure | Azure AI | Azure AI Search | Chroma | Cosmos DB | Datadog | Docker | Embeddings | FastAPI | Fine Tuning | GitHub | Harness | JFrog | Jira | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MCP | MLOps | Milvus | Model Context Protocol | MongoDB | MySQL | Node.js | PGVector | Playwright | PostgreSQL | Prompt engineering | Pytest | Python | RAG | React | SQL | SQL Server | Semantic Kernel | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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