AI Engineer
Tasks
- Build MLOps automation for models and agents
- Build agentic systems and orchestration
- Build data pipelines for ingestion transformation and export
- Design production AI ML systems
- Develop Model Context Protocol servers and tools
- Ensure secure data handling and compliance
- Expose governed datasets and APIs
- Implement observability for AI systems
- Implement retrieval-augmented generation
- Maintain documentation and engineering standards
Perks/Benefits
- Dental insurance
- Free office refreshments
- Health insurance
- Learning courses access
- Meal vouchers
- Multisport card
- Paid time off
- Performance bonuses
- Promotions
- Public transport pass
- Training budget
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Alerting | Anthropic | Apache Spark | Azure | BigQuery | CI/CD | CrewAI | Dagster | Docker | Embeddings | GCP | GitHub Actions | Graph Databases | Hybrid search | Infrastructure as Code | Kubernetes | Langgraph | Llamaindex | Model Context Protocol | Monitoring | Observability | OpenAI | Python | RAG | SQL | Terraform | Vector Databases | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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