<div class="content-intro"><h3><strong>Why AssemblyAI</strong></h3> <p>AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. We have a lab, and we also power our own models in our own proprietary inference environment. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for the best talent we can find to join a rapidly scaling team that's defining the future of the industry.<br><br>We are one of the most capital-efficient AI companies on the planet - and are rapidly approaching $1M ARR per employee. We sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. We have thousands of customers building with us including the top startups and world renown enterprises, and are serving at tremendous scale: we process over 2 million hours of audio daily and handle more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven, the revenue is durable, and the growth trajectory is steep and getting steeper. We have a super flat culture and expect our employees' to be deeply intimate with the details at all levels.<br><br>If you’ve ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you’ll actually know everyone’s name.</p></div><h2><strong>About the role:</strong></h2> <p>More and more developers don't read our docs or click through our dashboard. Their coding agent does. Claude Code, Cursor, Codex and others are now how a big share of engineers discover, integrate and debug AssemblyAI. We've spent years polishing the human experience. The agent experience (AX) is newer, growing fast, and almost untouched.</p> <p>That's the job. You'll own how AI agents build with AssemblyAI: the skills, prompts, MCP server, code samples, docs and integrations an agent reads and runs when a developer says "add transcription to my app." Your north star is simple: an agent should go from zero to a working, production-grade AssemblyAI integration on the first try.</p> <p>You'll work closely with senior engineers on our Product Engineering team, with real ownership from day one and room to grow into leading AX as the area scales.</p> <h2><strong>What You’ll Do:</strong></h2> <ul> <li><strong>Drive the agent experience.</strong> Treat coding agents as a first-class user of AssemblyAI, alongside the humans who use our dashboard and Playground.</li> <li><strong>Build and maintain agent skills.</strong> Ship skills for our core products (Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, LLM Gateway) that teach agents how to integrate us correctly.</li> <li>Build o<strong>n our MCP server and agent integrations.</strong> Extend the AssemblyAI MCP server, help ship agent and MCP auth (OAuth and API keys), and make it easy to plug into Claude Code, Cursor, Codex and whatever comes next.</li> <li><strong>Make our docs and code samples agent-ready.</strong> Own llms.txt, machine-readable docs, quickstarts and SDK examples so agents pick the right API, parameters and patterns the first time.</li> <li><strong>Tune the prompts and instructions behind our product.</strong> Improve the system prompts, tool definitions and agent instructions that power our in-dashboard agent and onboarding flows.</li> <li><strong>Measure it.</strong> Build evals and benchmarks that run real coding agents against real integration tasks. Track success rate, time to first working call, and activation from agent-driven signups.</li> <li><strong>Help us scale the playbook.</strong> Start with one product and then roll what works across every product.</li> <li><strong>Use AI tools as a core part of how you work,</strong> and help the rest of engineering build faster with agents.</li> </ul> <h2><strong>What You’ll Need:</strong></h2> <ul> <li>2+ years of professional software engineering experience, with solid full-stack fundamentals (Javascript and/or Python).</li> <li>Daily, hands-on use of coding agents such as Claude Code, Cursor or Codex, and real curiosity about what makes them succeed or fail.</li> <li>Some hands-on experience writing prompts, skills, tool definitions or agent instructions, at work or side projects, and an interest in measuring them with evals rather than vibes.</li> <li>Product sense for developer-facing work. You care whether the developer, or their agent, actually gets to a working integration.</li> <li>Clear technical writing. Much of this role is writing that agents and humans both read.</li> <li>Comfort with ambiguity and a bias to ship. AX is a new discipline, and you'll learn it and help define it alongside us.</li> </ul> <h2><strong>Nice to Have:</strong></h2> <ul> <li>Working knowledge of MCP, LLM tool calling, and how agents read docs and APIs.</li> <li>You've built or contributed to an MCP server, agent skill library, or coding agent plugin.</li> <li>