Founding Software Engineer - AI & Voice Systems

• 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.

• 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.

Nice to have

• Hands-on time with telephony/WebRTC (Twilio, LiveKit, SIP) or TTS/ASR systems.
• ClickHouse, Temporal, or stream-processing experience at scale.

Stack: TypeScript

• Bun
• AWS (SST)
• ClickHouse
• DynamoDB
• Temporal
• Postgres
• WebRTC/telephony