Software Engineer, Agent Experience

Описание

This role focuses on owning how AI agents build with AssemblyAI, ensuring agents can successfully integrate AssemblyAI products from the first attempt.

Responsibilities

• Drive the agent experience, treating coding agents as first-class users of AssemblyAI.
• Build and maintain agent skills for core products such as Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, LLM Gateway.
• Extend the AssemblyAI MCP server and help ship agent and MCP authentication (OAuth and API keys).
• Make it easy to plug into Claude Code, Cursor, Codex and future agent tools.
• Own llms.txt, machine-readable docs, quickstarts and SDK examples to ensure agents pick the right API, parameters and patterns.
• Improve the system prompts, tool definitions and agent instructions that power the in-dashboard agent and onboarding flows.
• Build evals and benchmarks to run real coding agents against real integration tasks.
• Track success rate, time to first working call, and activation from agent-driven signups.
• Scale the playbook by starting with one product and rolling out successful strategies across all products.
• Use AI tools as a core part of the work and help the rest of engineering build faster with agents.

Requirements

• 2+ years of professional software engineering experience with solid full-stack fundamentals (Javascript and/or Python).
• Daily, hands-on use of coding agents such as Claude Code, Cursor or Codex.
• Real curiosity about what makes coding agents succeed or fail.
• Some hands-on experience writing prompts, skills, tool definitions or agent instructions, at work or side projects.
• Interest in measuring agent performance with evals rather than vibes.
• Product sense for developer-facing work, caring about successful integration by developers or their agents.
• Clear technical writing for both agents and humans.
• Comfort with ambiguity and a bias to ship.

Nice to have

• Working knowledge of MCP, LLM tool calling, and how agents read docs and APIs.
• Experience building or contributing to an MCP server, agent skill library, or coding agent plugin.
• Developer relations, docs engineering, or SDK experience at an API-first company.
• Experience with Voice AI, speech-to-text, or LLM APIs.
• Shipped something that agents use in the wild, with before and after examples.

We offer

• USD Salary Range: 160,000 - 210,000 USD per year
• CAD Salary Range: 225,000 - 285,000 CAD per year
• Remote work