AI Forward Deployed Engineer

Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care. The shift to agentic work is inevitable, and we’re leading it.. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI. We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is wide open. About the role Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges. Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements. Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare. Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem. About you You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background You’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive. Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input. You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one. Studied science or engineering in college (dropout welcome) Located in SF/Toronto or willing to relocate What we offer A chance to be an early team member at a fast-growing, ambitious company The opportunity to push the boundaries of what’s possible with AI A modern stack and the latest tools to do your best work Competitive salary and meaningful equity Unlimited PTO Fun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

{
  "content_hash": "728a5b7e954826f0e3dadcd229cac11575bfa2322cd11089bd77e38c0fa4b516",
  "source_hash": "67f768e5ba617510189a4a6ef101efd5cb023a84102ba25bb43d389dc0606181",
  "last_changed_at": "2026-05-29T06:18:38.801Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:16:34.802Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States",
      "Canada"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "id": "55801f62-d42b-4c68-87ba-01c483ba4459",
  "team": "Product Management, AI Deployment",
  "title": "AI Forward Deployed Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/magical/55801f62-d42b-4c68-87ba-01c483ba4459",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/magical/55801f62-d42b-4c68-87ba-01c483ba4459/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Product Management",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Toronto"
    }
  ]
}