Build voice AI that ships.
Fifteen senior engineers in Central India, working NA, EU, and AU overlap hours. What you build here answers phones for a city of 230,000 by week eight, not a backlog. Small team, production from the first sprint, one engineering lead per engagement.
What we expect before you apply.
No years-of-experience theater. Six things, all learnable in a few focused weeks, all free.
The four things to finish before applying.
This is the exact preparation list we would give a friend. Total cost: zero. Total time: two to three focused weeks.
Claude with the Anthropic API
The full API lifecycle: first call to streaming, tool use, and production patterns. The single most useful course for our work.
Open → Anthropic Academy · free · certificateIntroduction to Model Context Protocol
How Claude connects to external tools and data. Our agents act through client systems; MCP is how that thinking is structured.
Open → LiveKit docs · freeVoice AI quickstart
A working voice agent you can talk to in under an hour: STT, LLM, TTS, turn detection. Build it, break it, explain it.
Open → LiveKit · GitHubLiveKit Agents framework and examples
The framework we run in production. Read the examples directory; the restaurant agent example is the closest to our daily work.
Open →One email. No forms, no portals.
Subject line: “Application - Voice AI Engineer” and whether you are applying as a fresher or experienced. We read every application. A repo we can run beats a cover letter we have to read.
- Resume, one page, PDF
- Links to 1 or 2 repos you actually built
- Course certificates, if you have them
- Five lines on the most interesting thing you made