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Senior AI Forward Deployed Engineer

Updated

Pay not postedRemote, hiring in CaliforniaSenior

Senior Forward Deployed Engineer responsible for designing and orchestrating customer-specific agentic workflows, connecting customers with product and engineering, and resolving deployment and performance issues.

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View posting at Magical

At a glance

Posted base pay

Not posted

The work

Integrates and configures it

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 5+ yearsengineering, QA engineering, solutions engineering, or similar technical background

Background

  • Software engineering
  • Solutions and customer engineering

Tools

  • AI prompting
  • multi-agent systems
  • agentic workflows
  • automation
  • reference implementations

Less common in FDE jobs

  • Company stage: Early12%
  • Company size: About 51–200 people18%
  • Fully remote28%
  • Individual contributor or manager: Individual contributor49%

Share of US FDE postings that state each fact.

The job description from Magical

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 an early 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 5+ 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

View posting at Magical

About Magical

Agentic automation platform deploying "AI employees" that run healthcare back-office workflows (prior auth, claims, eligibility, RCM) for payers and providers in production.

Series A · 50–100 people

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Pay and conditions

Posted pay
Pay not posted
Location
San Francisco, CA
Work arrangement
Remote
Remote work restrictions
Located in San Francisco or Toronto, or willing to relocate
Employment type
Full-time
Experience requirements
  • 5+ years: engineering, QA engineering, solutions engineering, or similar technical background (required)