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About the role
Key responsibilities & impact- Design and own AI agent architecture (orchestration, tool use, control flow)
- Build systems that enable agents to operate reliably across real-world interactions
- Develop and improve evaluation frameworks for agent quality and behavior
- Debug and resolve complex issues in production (edge cases, failures, regressions)
- Optimize performance across the stack (latency, cost, reliability)
- Define patterns and best practices for building and operating AI agents
- Mentor engineers and raise the bar on AI systems design and execution
Requirements
What you’ll need- 7+ years of software engineering experience
- Experience building and operating AI agents or conversational systems in production
- Strong understanding of:
- agent orchestration and tool use
- multi-step workflows and control flow
- LLM behavior in real-world settings
- Experience designing evaluation systems for AI quality
- Strong debugging skills across complex, non-deterministic systems.
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
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Hard Skills & Tools
AI agent architectureagent orchestrationtool usecontrol flowevaluation frameworksdebuggingperformance optimizationmulti-step workflowsLLM behaviornon-deterministic systems
Soft Skills
mentoringleadership