2 дня назад
Software Engineer, Agent Experience (AI)
160 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Agent Experience (AI): Building the agent-facing skills, MCP server integrations, prompts, documentation, code samples, and evaluation systems that enable coding agents to integrate AssemblyAI on the first try with an accent on developer experience, agent tooling, and Voice AI APIs. Focus on designing agent instructions, measuring integration success, and scaling agent-ready workflows across speech and language products.
Location: Remote in North America
Salary: USD $160,000–$210,000 for candidates in the United States; CAD C$225,000–C$285,000 for candidates in Canada. Compensation may vary outside these regions.
Company
builds Voice AI models and APIs for speech-to-text, real-time transcription, dictation, voice agents, text-to-speech, and LLM applications.
What you will do
- Drive the agent experience as a first-class product experience for developers using .
- Build and maintain agent skills for Speech-to-Text, Real-time, Dictation, Voice Agents, TTS, and LLM Gateway products.
- Extend the MCP server and support agent integrations, OAuth, and API-key authentication.
- Make llms.txt, machine-readable documentation, quickstarts, SDK examples, prompts, tool definitions, and agent instructions ready for coding agents.
- Build evaluations and benchmarks for real coding-agent integration tasks, measuring success rate, time to first working call, and agent-driven activation.
- Scale successful agent-experience practices across the product portfolio and use AI tools in engineering workflows.
Requirements
- 2+ years of professional software engineering experience with solid full-stack fundamentals.
- Professional experience 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, with interest in evaluating them through measurable benchmarks.
- Product sense for developer-facing tools and clear technical writing.
- Comfort working with ambiguity and shipping in a new discipline.
Nice to have
- Knowledge of MCP, LLM tool calling, and how agents consume documentation and APIs.
- Experience building an MCP server, agent skill library, or coding-agent plugin.
- Developer relations, documentation engineering, or SDK experience at an API-first company.
- Experience with Voice AI, speech-to-text, or LLM APIs.
- Experience shipping agent-facing tools used in production.
Culture & Benefits
- Small, lean team with substantial individual ownership and impact.
- Meritocratic environment with limited bureaucracy and direct access to tools and information.
- Equal opportunity workplace committed to an inclusive environment.
- AI-assisted interview guidance is provided to candidates selected for interviews.
Hiring process
- Selected candidates receive guidance on 's use of AI during the interview process.
- Candidates from the EU should review the GDPR job applicant privacy notice.
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