Senior AI Engineer
Tasks
- Apply safety guardrails for agent behavior
- Build agent memory layer
- Build caching queues and vector storage
- Build harnesses and CI gates for agents
- Create evaluation discipline with golden traces
- Define agent loop and harness
- Design agent observability and telemetry
- Design and build agent libraries
- Develop scalable backend services and REST APIs
- Drive performance tuning code reviews and documentation
- Enforce RBAC and tenant isolation for memory
- Implement authentication, authorization, and input validation
- Implement context chaining and episodic memory
- Implement prompt orchestration
- Integrate local language models
- Integrate tool invocation and sub agent delegation
- Maintain CI/CD pipelines
- Run regression evals and red team prompts
- Shape agent runtime architecture
- Write automated test suites
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Authentication | Authorization | CI Gates | CI/CD | Context Chaining | Context Poisoning | Context Poisoning Mitigation | Context Windowing | Docker | Episodic memory | Evaluation | FastAPI | Git | GitLab CI | GitLab CI/CD | Golden Traces | Hyperparameter Tuning | Input validation | JavaScript | LLM | Memory Management | MongoDB | Observability | PostgreSQL | Prompt engineering | Pydantic | Pytest | Python | RBAC | REST API | Red Teaming | Redis | Regression testing | SQLAlchemy | Structured Output | Telemetry | Testing | Tool invocation | TypeScript | Vector Database
Education
N/A
Roles
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