Software Engineer – Agent Experience

🔥 1 minute ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $160k - $210k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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AssemblyAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 $30M Series B on 2022-07

Consulting • Marketing • Logistics

AssemblyAI is an API platform specializing in state-of-the-art AI models, particularly in the field of speech recognition and understanding. The company closely monitors advancements in AI research to enhance its production-ready models. Developers and product teams leverage AssemblyAI's API for various applications, including transcription, conversation intelligence, summarization, and audio/video content moderation. The introduction of their framework, LeMUR, allows users to effectively apply powerful language models to transcribed speech, further broadening the capabilities of their offerings.

📋 Description

• 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

• 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

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

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