
Software Engineer β Agent Experience
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States, +1 more country.
β’ Treat coding agents as a top-tier user of AssemblyAI.
β’ Develop and maintain skills for Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, and LLM Gateway products.
β’ Enhance the AssemblyAI MCP server and facilitate the deployment of agent and MCP authentication using OAuth and API keys.
β’ Integrate with Claude Code, Cursor, Codex, and other future coding agents.
β’ Manage llms.txt, machine-readable documentation, quickstarts, and SDK examples.
β’ Optimize system prompts, tool definitions, and agent instructions for the in-dashboard agent and onboarding processes.
β’ Create evaluations and benchmarks utilizing real coding agents and integration tasks.
β’ Monitor success rates, time to first successful call, and activation from agent-driven signups.
β’ Scale effective agent-experience strategies across all products.
β’ Utilize AI tools in daily tasks and assist engineering teams in accelerating development with agents.
β’ Collaborate closely with senior engineers on the Product Engineering team, taking ownership from day one.
β’ 2+ years of professional software engineering experience.
β’ Strong full-stack development skills with JavaScript and/or Python.
β’ Regular, hands-on experience with coding agents such as Claude Code, Cursor, or Codex.
β’ Practical experience in writing prompts, skills, tool definitions, or agent instructions.
β’ Interest in assessing agent performance through evaluations.
β’ A strong product sense for developer-focused work.
β’ Proficient technical writing skills.
β’ Ability to navigate ambiguity and a proactive approach to shipping products.
β’ Familiarity with MCP, LLM tool calling, and how agents interact with documentation and APIs (nice to have).
β’ Experience building or contributing to an MCP server, agent skill library, or coding agent plugin (nice to have).
β’ Background in developer relations, documentation engineering, or SDK experience at an API-first company (nice to have).
β’ Knowledge of Voice AI, speech-to-text, or LLM APIs (nice to have).
β’ Competitive salary and commitment to pay equity.
β’ Opportunities for compensation, benefits, and other rewards.
β’ Candidate AI Guidance detailing permissible AI use throughout the interview process.
Agility Robotics
SentiLink
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