Respondent
now — PresentAI Product Engineer · Remote
Building AI interviewer and agentic product systems in a rapidly changing AI software environment.
- Build multi-agent workflows for customer-facing and internal use cases — conversational AI, AI interviewer experiences, support automation, and operational agent systems.
- Design and implement eval-driven agent quality tracking, prompt and tool orchestration, MCP-enabled integrations, and developer CLI tooling for faster product and support workflows.
- Ship end-to-end across product surface, backend services, AI orchestration, observability, and feedback loops, with a bias toward rapid learning and production-grade iteration.
- Work closely with founders, product stakeholders, engineering peers, and customer-facing teams to turn fast-moving AI opportunities into usable, reliable software.
- AI agents
- Conversational AI
- Evals
- MCP
- TypeScript
- Node.js
- React
- Python
- CLIs
- Observability