ai engineer voice realtime

Obble screens and interviews candidates over a live call. That means audio in, transcription, a model deciding what to ask next, and speech back out, inside the pause a person will tolerate before it feels broken.

This role owns that pipeline: the realtime worker, the prompts, the vendor seams behind them, and the evaluation harness that tells us whether a change made the interviewer better or only different.

What you will do: Own the realtime interview worker: audio handling, speech-to-text, model calls, and turn-taking under a latency budget. Design prompts as engineering artifacts, versioned and measured against a frozen corpus rather than adjusted by vibes. Run the evaluation loop: build the scenarios, read the transcripts, and defend a change with numbers before it goes live. Keep the vendor layer swappable. Models and speech providers change; the product should not have to.

What we are looking for: Strong Python, and experience shipping something that called a language model in production rather than in a notebook. Comfort with asynchronous and streaming code, and the debugging that comes with it. A measurement instinct: when a model output is wrong, your first move is to build the case that proves it. Care about the person on the other end of the call. A candidate is being interviewed by this system, and that deserves real thought.

Nice to have: WebRTC, LiveKit, or any realtime audio stack. You have run evaluations or A/B comparisons on model output before.