AI Product Engineer

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  "last_changed_at": "2026-05-29T07:02:07.650Z",
  "active_status": "active"
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{
  "language": "en",
  "location": {
    "raw": "San Francisco, California",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
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  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
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{
  "lists": [
    {
      "text": "WHAT YOU'LL DO",
      "content": "<div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven)</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Deploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">Optimize LLM costs and performance through prompt engineering, caching, and smart model selection</span></p>\n</li>\n\n</ul></div>"
    },
    {
      "text": "WHO YOU ARE",
      "content": "\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You’ve built AI agents and shipped them to production—not just prototypes</span></li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 3pt;\"><span style=\"font-size: 11pt;\">You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration</span></p>\n</li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You think critically about LLMs—you understand how they work under the hood, not just how to call an API</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You have strong product sense—you focus on what users actually need, not just what’s technically interesting</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You take ownership and drive things from idea to measurable impact</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You communicate clearly—you can explain complex AI systems to anyone in the company</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You stay current with the rapidly evolving AI landscape and bring new ideas to the team</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">Experience with advanced agent patterns or multi-agent systems</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">Experience building and configuring MCP (Model Context Protocol) servers</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">Open-source contributions to AI/ML projects</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">Familiarity with observability tools for LLM applications</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 11pt;\">Media, ad tech, or streaming data domain knowledge</span></li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1773514310374,
  "updatedAt": null,
  "categories": {
    "team": "AI Engineering",
    "location": "San Francisco, California",
    "commitment": "US Full-time Salaried",
    "department": "Engineering",
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