Software Engineer – Agent Experience

AssemblyAI

. Treat coding agents as a first-class user of AssemblyAI .

Posted 11/2/2026full-timeRemote • United States, CanadaJuniorMid-Level💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining agent skills for Speech-to-Text and Voice Agents, with a strong foundation in JavaScript and Python. Proficient in technical writing and measuring agent performance through evaluations, while effectively collaborating with engineering teams.

Highest-signal resume keywords

JavaScriptPythonCoding AgentsTechnical WritingSpeech-To-Text

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack FundamentalsPrompt WritingAgent InstructionsEvaluationsMCP Server Development

Soft Skills

Comfort With AmbiguityBias To Ship

Tools & Technologies

OAuthAPI KeysClaude CodeCursorCodex

Industry Keywords

Voice AILLM APIsDeveloper RelationsDocs EngineeringSDK Experience

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Treat coding agents as a first-class user of AssemblyAI
Build and maintain agent skills for Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, and LLM Gateway products
Extend the AssemblyAI MCP server and help ship agent and MCP authentication using OAuth and API keys
Integrate with Claude Code, Cursor, Codex, and future coding agents
Own llms.txt, machine-readable documentation, quickstarts, and SDK examples
Improve system prompts, tool definitions, and agent instructions for the in-dashboard agent and onboarding flows
Build evaluations and benchmarks using real coding agents and integration tasks
Track success rate, time to first working call, and activation from agent-driven signups
Scale successful agent-experience practices across every product
Use AI tools in daily work and help engineering teams build faster with agents
Work closely with senior engineers on the Product Engineering team with ownership from day one

Requirements

What you’ll need

2+ years of professional software engineering experience
Solid full-stack fundamentals with JavaScript and/or Python
Daily, hands-on use of coding agents such as Claude Code, Cursor, or Codex
Hands-on experience writing prompts, skills, tool definitions, or agent instructions
Interest in measuring agent performance with evaluations
Product sense for developer-facing work
Clear technical writing
Comfort with ambiguity and a bias to ship
Working knowledge of MCP, LLM tool calling, and how agents read docs and APIs (nice to have)
Experience building or contributing to an MCP server, agent skill library, or coding agent plugin (nice to have)
Developer relations, docs engineering, or SDK experience at an API-first company (nice to have)
Experience with Voice AI, speech-to-text, or LLM APIs (nice to have)

Benefits

Comp & perks

Competitive salary and pay equity
Compensation, benefit, and other reward opportunities
Candidate AI Guidance explaining permitted AI use throughout the interview process