Principal AI Engineer, Edinburgh
Tasks
- Author decision records
- Build integration APIs
- Create APIs and shared data contracts
- Create evaluation framework
- Define engineering standards
- Design multi agent coordination patterns
- Design orchestration layer
- Design tool integration
- Drive technical direction across teams
- Establish observability
- Implement guardrails
- Manage memory and context
- Own AI agent architecture
- Set evaluation methodology
- Ship production AI agents
- Support code review and pairing
- Translate product goals into AI engineering roadmap
- Write and review production code
Perks/Benefits
- Gym membership
- Health insurance
- Hybrid work
- Life insurance
- Mental health support
- Time off
- Volunteer days
- Wellbeing days
- Wellness resources
- Work from anywhere
Skills/Tech-stack
API Design | Agent systems | Artificial Intelligence | Backend Development | Caching | Claude Code | Context Management | Data Contracts | Data Pipelines | Evaluation Frameworks | Failure handling | Guardrails | LLM integration | MCP | Machine Learning | Model selection | Multi-Agent | Multi-Agent Systems | Observability | Prompt Optimization | Routing | Token Economics | Tool use
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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