Senior AI Engineer
Tasks
- Build evaluation harnesses
- Build internal agent libraries
- Build prompting guardrails
- Build secure RBAC APIs
- Create technical documentation
- Define memory retention boundaries
- Design Agentic AI systems
- Develop Python FastAPI services
- Develop agent runtime architecture
- Implement agent loops and harnesses
- Implement agent memory layer
- Implement caching and queues
- Integrate tools into agents
- Integrate vector storage
- Maintain CI/CD pipelines
- Perform performance tuning and code reviews
- Set up CI gates for evals
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent SDK | Authentication | Authorization | CI/CD | Claude Agent SDK | Context window | Docker | Error Handling | Evaluation harnesses | FastAPI | Git | GitLab | Guardrails | I/O | Input validation | JavaScript | LLM | Langchain | Langgraph | Llama CPP | Local LLMs | MongoDB | Observability | Ollama | PostgreSQL | Prompt engineering | Pydantic | Pydantic AI | Pytest | Python | RBAC | Red Teaming | Redis | Regression testing | SQLAlchemy | Structured I O | Telemetry | Temperature | Tool-Calling | Top K | TypeScript | VLLM | Vector Databases
Education
N/A
Roles
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