ou can expect to do all of the following:

1. Build large-scale agents for voice and chats for enterprises
2. Evaluate multiple models for VAD, turn detection, interrupt handling, etc.
3. Handle MLOps to ensure low-latency responses
4. Clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc.
5. Research and implement SOTA approaches for knowledge graphs and Graph RAGs
6. Run evals

Our values

1. Continuous 360 feedback: Everyone is expected to share constructive, critical feedback with everyone else, including the founders.
2. Product-minded: Everyone shares product ownership, so we expect everyone to engage in customer outreach, support, and customer conversations to gather feedback and identify new features.
3. Doers over talkers: We spend time figuring out the right direction, then execute quickly. No one is too “senior” to do a job - the CTO will code every day, the CEO will sell every day, and everyone takes care of customer support on a schedule. We understand the difference between real work and pretense.
4. Humanity over everything else: We sell the product to businesses, but in reality, we sell it to real humans on the other side. Our end customers are consumers using the product through our UI or integrated with our APIs, so we are building the world’s most human-centric company (no pun intended). Kindness is expected, and empathy is the core value we’re looking for.

About you

1. We expect you to have built things from 0 to 1 or 1 to 10 (which is typically an early or growth stage startup)
2. Experience with voice AI is mandatory. You should have built and taken voice AI agents to production, run monitoring, and made improvements. You should have worked with frameworks such as Pipecat and Livekit.
   1. We expect you to have an extremely strong bias toward action, strong motivation, side projects, and to have built and/or scaled systems from scratch.