- Build and ship fullstack product features across candidate and recruiter experiences, from API and data model design to frontend implementation.
- Improve real-time AI-powered experiences used in interviews and assessments, including model orchestration, streaming UX, tool/function-calling patterns, and reliability.
- Contribute to systems that integrate multiple LLM providers and require pragmatic handling of latency, cost, observability, and non-deterministic behavior.
- Develop and improve deterministic internal tooling that helps engineers and agents execute work safely, repeatably, and with strong audibility.
- Partner across product, design, and platform teams to take ambiguous problems from definition to production rollout.
- Lead and mentor through code review, using reviews as both a quality gate and a coaching channel for less-experienced engineers.
- Plan and deliver technical debt, architecture, and observability initiatives that improve long-term system maintainability.
- Participate in on-call operations and drive runbook, reliability, and incident follow-up improvements.
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