Software Engineer (Agent Experience)
Posted
Summary
Owns AssemblyAI's agent experience so coding agents (Claude Code, Cursor, Codex) can integrate Speech-to-Text, Voice AI, and LLM APIs on the first try. Builds agent skills and MCP integrations, writes agent-ready docs/llms.txt and samples, tunes prompts, and measures success with agent evals using JavaScript and Python.
- 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
- 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
- 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
- Drive the agent experience. Treat coding agents as a first-class user of AssemblyAI, alongside the humans who use our dashboard and Playground
- Build and maintain agent skills. 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
- Build on our MCP server and agent integrations. 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
- Make our docs and code samples agent-ready. Own llms.txt, machine-readable docs, quickstarts and SDK examples so agents pick the right API, parameters and patterns the first time
- Tune the prompts and instructions behind our product. Improve the system prompts, tool definitions and agent instructions that power our in-dashboard agent and onboarding flows
- Measure it. 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
- Help us scale the playbook. Start with one product and then roll what works across every product
- Use AI tools as a core part of how you work, and help the rest of engineering build faster with agents
Benefits
- Home office stipend: We invest in our people first and offer competitive salaries across all roles andEvery new team member gets U$1,000 to improve their home office. We want to make sure everyone has the setup to do their best work. locations
- Equity: We want our team members to have skin in the game and an opportunity to see long-term returns on the hard work they are putting in. To that end, every team member receives a generous equity grant
- Premium benefit offerings: We offer premium medical, dental, and vision plans and cover up to 100% of the premiums for both the employee and their family. We also offer opportunities to contribute to an HSA or FSA, short-term and long-term disability coverage, and life insurance
- Unlimited PTO: We offer a flexible PTO policy to all team members and encourage everyone to take time off to recharge, do something fun, and spend time with loved ones
- Team offsites: We have team and company-wide retreats in amazing locations to give everyone an opportunity to meet in person, collaborate, and build working relationships that make us a better team
- Global remote team: We hire the best person for the job, regardless of location. Our remote-first culture allows team members to make an impact from anywhere in the world
- Diversity and inclusion: We celebrate diversity and are committed to creating an inclusive environment for all employees. We are proud to be an equal-opportunity workplace
- Flexible schedule: Strong teams are built on mutual trust and accountability. We believe in giving our team members ownership over their work and a flexible schedule to allow them to operate at their highest potential
- 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
- Daily, hands-on use of coding agents such as Claude Code, Cursor or Codex, and real curiosity about what makes them succeed or fail
- Product sense for developer-facing work. You care whether the developer, or their agent, actually gets to a working integration
- 2+ years of professional software engineering experience, with solid full-stack fundamentals (Javascript and/or Python)
- Clear technical writing. Much of this role is writing that agents and humans both read
- Comfort with ambiguity and a bias to ship. AX is a new discipline, and you’ll learn it and help define it alongside us
- Working knowledge of MCP, LLM tool calling, and how agents read docs and APIs
- Developer relations, docs engineering, or SDK experience at an API-first company
- You’ve built or contributed to an MCP server, agent skill library, or coding agent plugin
- Experience with Voice AI, speech-to-text, or LLM APIs
- You’ve shipped something that agents use in the wild, and can show us the before and after
