Principal AI Engineer
Tasks
- Build CI gates for agent changes
- Build internal agent libraries
- Design agentic AI architecture
- Design secure REST APIs
- Develop central agent runtime
- Develop scalable backend services
- Drive observability and telemetry for agents
- Establish evaluation and test discipline
- Implement RBAC and authorization
- Implement agent loop and harness
- Implement caching and queues
- Implement memory layer for agents
- Integrate tool interfaces with agents
- Maintain CI/CD pipelines
- Perform performance tuning
- Store and index vectors
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Authentication | Authorization | CI/CD | Docker | FastAPI | Git | GitLab CI | GitLab CI/CD | JavaScript | LLM Evaluation | MCP | MongoDB | Observability | PostgreSQL | Prompt engineering | Pydantic | Pytest | Python | RBAC | REST API | Redis | SQLAlchemy | Structured Output | Telemetry | Testing | TypeScript | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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