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.