AI Engineer (f/m/d)
Tasks
- Align solutions with data protection requirements
- Build AI agents with engineers and architects
- Build data pipelines for LLM and RAG systems
- Collaborate with operations and SMEs on solution design
- Design generative AI and machine learning applications
- Design integration layers with enterprise platforms
- Develop evaluation frameworks for LLM and RAG
- Document test and share knowledge
- Ensure responsible AI compliance and governance
- Implement reusable scalable AI components
- Integrate retrieval and embedding workflows
- Validate AI prototypes and deploy to production
Perks/Benefits
- Career development
- Company pension
- Hybrid work
- Learning and development programs
- Mental health and wellbeing programs
- Savings plan
- Volunteering time
Skills/Tech-stack
AI Search | Autogen | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Chroma | Cosmos DB | Datadog | Docker | Embeddings | FastAPI | Generative AI | GitHub | Integration Testing | Jira | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | MongoDB | MySQL | Node.js | PGVector | Playwright | PostgreSQL | Prompt engineering | Pytest | Python | React | Retrieval-Augmented Generation | SQL Server | Semantic Kernel | TypeScript | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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