Senior AI Engineer
Tasks
- Apply RBAC and tenant isolation for memory
- Build agent loop harness for prompt orchestration
- Build evaluation discipline for agentic systems
- Build secure RESTful APIs
- Conduct code reviews
- Create offline and online eval metrics
- Design agent runtime architecture
- Design and build agent libraries
- Design and build agent memory layer
- Design and operate agent loops in production
- Design scalable backend services
- Implement CI gates for prompt model and tool changes
- Implement authentication and authorization
- Implement caching and queues
- Implement memory retention and decay policies
- Implement tool interfaces for agents
- Integrate local LLM options
- Maintain CI/CD pipelines
- Perform performance tuning
- Set up vector storage
- Translate workflows into agentic solutions
- Work in agile methodologies
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Authentication | Authorization | CI Gates | CI/CD | Caching | Docker | FastAPI | Git | GitLab CI | GitLab CI/CD | Guardrails | JavaScript | LLM | Langchain | Langgraph | MCP | Model Evaluation | MongoDB | Observability | PostgreSQL | Prompt engineering | Pydantic | Pydantic AI | Pytest | Python | Queuing | RBAC | REST APIs | Red Teaming | Redis | Regression testing | SQLAlchemy | Structured data | Telemetry | Testing | TypeScript | Vector Databases
Education
N/A
Roles
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