AI Engineer (f/m/d)
EUR 70K-75K (estimate) Senior-level Full Time
Tasks
- Build asynchronous multi step agent pipelines
- Build custom connectors and integrations via MCP
- Build performance measurement and tracking pipelines
- Containerize and deploy with Docker and Kubernetes
- Define evaluation metrics for data and agent quality
- Design and deploy agent runtime infrastructure
- Develop robust Python backends
- Enable LLM testing frameworks and enforce output schemas
- Implement CI/CD pipelines and automated tests
- Implement agentic RAG and semantic caching
- Implement data access controls and data security
- Integrate agent orchestration SDKs
- Optimize model context windows and request routing
- Orchestrate production agents and manage routing and cost
Perks/Benefits
- Equipment provided
- Internal and external training
- International career opportunities
- Remote work 2 days per week
- Technical training and certifications
Skills/Tech-stack
AWS EKS | Agent Builder | Agent platform | Airflow | Amazon SageMaker | CI/CD | Cloud platform | Databricks | Docker | GRPC | Gemini | Gemini Enterprise | Gemini Enterprise Agent Platform | GitHub Actions | Google Cloud | Google Cloud Model Armor | Google Cloud Platform | JSON Schema | Kubernetes | LLM Evaluation | LLM routing | MLflow | Model Armor | Model Context Protocol | Protobuf | PySpark | PyTorch | Python | RAG | Scikit-learn | Semantic Caching | Spark | TensorFlow | Vertex AI | Vertex AI Agent Builder
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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