AI Engineer - Agentic Systems
Tasks
- Assess LLMs agent orchestration multimodal systems evaluation and AI engineering for production use
- Collaborate with domain experts to validate technical meaningful evidence based outputs for operational decisions
- Define agent responsibilities tools interaction patterns context sharing and hand offs
- Deploy and operate AI services in production with platform and software engineers
- Design scalable architecture for role based AI agents
- Implement observability and traceability for agent execution prompts retrieved context tool calls model responses decisions failures and feedback
- Integrate agents with operational data time series alarms events metadata forecasts reports and documentation
Perks/Benefits
- Annual leave
- Commuting allowance
- Home working allowance
- Life insurance
- Medical insurance
- Pension plan
Skills/Tech-stack
API Integration | Agentic Systems | CI/CD | Database Integration | Docker | Embeddings | Generative AI | Git | Kubernetes | Language Models | Large Language Models | Model Serving | Observability | Production Engineering | Prompt engineering | Python | Retrieval-Augmented Generation | Series data | Time Series | Time Series Data | Traceability | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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