Sr. AI Engineer – Agentic Systems
Tasks
- Analyze evaluation failures
- Build continuous evaluation for agent quality
- Create guardrails for production reliability
- Deploy prototypes to production
- Design agent architectures end to end
- Develop multi-agent workflows
- Diagnose agent reliability issues
- Implement memory and state for agents
- Integrate agents with systems of record
- Integrate tools with agents
- Optimize latency answer quality and token cost
- Orchestrate agent loops
- Run regression checks for behavior drift
Perks/Benefits
- N/A
Skills/Tech-stack
Agent SDK | Agent systems | Claude Agent SDK | Evaluation | Kafka | Langgraph | Langsmith | Latency optimization | MCP | Memory Management | Multi-Agent | Multi-Agent Systems | Orchestration | Python | Reproducibility | Retrieval-Augmented Generation | State management | Systems Integration | Testing | Token optimization | Tool integration | Tracing | Version control | Weights and Biases
Education
N/A
Roles
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