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Forward Deployed AI Engineer

  • San Francisco, CA, United States

$180,000 to $300,000 USD / year

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Job details

Pay
$180,000 to $300,000 USD / year
Posting language
English
Posted

Original job description

ABOUT THE ROLE

Join an engineering team building AI workflow automation for the insurance industry. This hands-on, customer-facing role combines software development with post-sales discovery, turning enterprise brokerage needs into deployed solutions and scalable platform improvements.

WHAT YOU'LL DO

  • Own customer implementations from requirements gathering through deployment.
  • Build and ship AI agents and automations, often within a week of scoping a customer need.
  • Work directly with enterprise customers after the sale to understand workflows and define technical solutions.
  • Bring successful customer-specific solutions into the core platform.
  • Partner with product and engineering teams to turn customer insights into reusable features.

WHAT WE'RE LOOKING FOR

  • Three to six years of software engineering experience in forward-deployed, implementation, solutions, or product engineering roles.
  • Production engineering experience shipping customer-facing features or automations, with a strong balance of coding and customer scoping.
  • Proficiency in Python and/or TypeScript, with full-stack development experience.
  • Experience at a venture-backed startup and comfort working in a fast-moving environment.
  • Strong customer communication, ownership, and ability to switch between discovery conversations and focused coding.
  • Experience delivering post-sales customer solutions on a rapid timeline.
  • AI/ML or LLM automation experience in production is a plus, as is familiarity with insurance or financial services.

COMPENSATION & BENEFITS

Base salary: $180,000 to $300,000 annually. Visa sponsorship is available.

LOCATION

On-site in San Francisco, California.

More about this job

Skills

  • Team building
  • Workflow
  • Software development
  • Sales
  • Requirements gathering
  • Customer insight
  • Python
  • TypeScript
  • Full-stack development
  • Communication skills
  • ML

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