Lead AI Engineer
O'Fallon, Missouri (Main Campus), United States
USD 140K-266K Senior-level Full Time
Tasks
- Build context engineering pipelines
- Define safe scalable tool use patterns
- Define success metrics and evaluation coverage
- Deploy production grade agentic solutions
- Design multi-agent AI systems
- Develop memory and retrieval patterns
- Enforce permissioning and auditability
- Handle incident response for agent failures
- Implement production observability and trace capture
- Implement structured outputs and error handling
- Implement tool and function calling
- Manage agent evaluations and feedback loops
- Monitor cost and token telemetry
- Set guardrails and human in the loop workflows
- Track latency and reliability metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Agent systems | Agentic AI | Audit Logging | Azure AI | Azure AI Foundry | Context engineering | Copilot Studio | Error Handling | Evaluation and experimentation | Function Calling | Human-in-the-loop | Latency monitoring | Memory Management | Microsoft Power | Microsoft Power Platform | Multi-Agent | Multi-Agent Systems | Observability | Permissioning | Power Platform | Prompt engineering | Reliability Engineering | Retrieval-Augmented Generation | Salesforce Agentforce | Structured Output | The Loop | Tool-Calling | Trace Logging
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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