Applied AI Engineer

Respondent builds AI products and participant-recruiting infrastructure for the research industry. The Senior Applied AI Engineer will own and evolve the AI Moderator and develop future agents, improving interview quality, insight synthesis, evaluation, and researcher-facing product experiences. The role works across the stack to ship and measure reliable AI features.

Responsibilities:

• Own and evolve the AI Moderator : Improve how it conducts interviews - question quality, adaptivity, multi-language support - so researchers get great studies quickly, anywhere in the world
• Make our insight reports top notch : Design and improve the synthesis pipeline that turns raw interviews into reports researchers trust, and build ways for them to interact with their data and resurface key findings
• Build the product across the stack: Architect APIs and services that handle real-time conversation, media, and large volumes of interview data - and build the researcher-facing experiences on top of them
• Build robust evaluation and observability : Define quality metrics, build automated evals, and instrument production systems so we can measure regressions and improvements with confidence
• Optimize cost and quality of generations : Profile token usage and experiment with model routing, prompt engineering, and caching to hit the right quality, latency, and cost tradeoffs at scale
• Ship AI features end-to-end : Work closely with Product to turn AI capabilities into reliable, production-ready features - not just prototypes