Founding Software Engineer — AI & Voice Systems

Own the machinery that makes Roark honest: the evaluation pipelines that score every call, the audio-native metrics that hear what transcripts miss, and the simulation engine that dials agents like a real caller. This is the product — if it is wrong, everything above it is wrong. What you'll do: Build and scale evaluation pipelines that score thousands of production calls in near real time. Work on audio-native metrics — pronunciation, emotion, vocal stress — alongside LLM-based evaluators, and prove they agree with human judgment. Evolve the simulation engine: realistic personas, accents and noise, dialing real agents over the phone and WebRTC. Own analytics at scale: ClickHouse pipelines, DynamoDB streams, and the query layer that keeps dashboards honest. Orchestrate long-running work with Temporal — replays, backfills and load tests that converge instead of double-count. What you'll bring: 4+ years building backend or ML/audio systems in production, ideally in TypeScript or Python. Experience with at least one of: speech/audio processing, LLM evaluation pipelines, or high-volume data infrastructure. Rigour about correctness — you think in idempotency, replays and ground truth, not just happy paths. Comfort operating what you build: dashboards, alerts, and the 2am curiosity to find out why. Clear written communication — designs and post-mortems people actually want to read. Stack: TypeScript · Bun · AWS (SST) · ClickHouse · DynamoDB · Temporal · Postgres · WebRTC/telephony.