AI Engineer - New Verticals

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United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Technical judgment","Communication","Problem-solving","Ambiguity tolerance"]

Help build a new AI vertical from the ground up as the first dedicated AI Engineer. Partner with the GM and early customers to define technical needs, create reusable MVP patterns, and decide what belongs in the core platform versus vertical-specific tooling. Own the first customer engagements end-to-end, translating messy requirements into durable systems, and partner across product, engineering, and data research to turn learnings into productized capabilities.

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FursaFursa
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2 days ago

AI Engineer - New Verticals

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Help build a new AI vertical from the ground up as the first dedicated AI Engineer. Partner with the GM and early customers to define technical needs, create reusable MVP patterns, and decide what belongs in the core platform versus vertical-specific tooling. Own the first customer engagements end-to-end, translating messy requirements into durable systems, and partner across product, engineering, and data research to turn learnings into productized capabilities.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with the GM and early customers to define the vertical’s technical needs.
  • •Build reusable patterns, integrations, and tooling for the first MVP, deciding what belongs in the platform layer versus vertical-specific components.
  • •Lead the first customer engagements end-to-end, from technical scoping through delivery and post-launch support.
  • •Write production-grade systems and translate customer requirements into durable, maintainable infrastructure.
  • •Work with product and engineering to identify patterns from early work that should become core platform capabilities.

Key Requirements

  • •3+ years of engineering experience, including meaningful 0→1 work as a founding engineer, early technical lead, or builder in ambiguous environments.
  • •Strong backend and data orientation with hands-on experience in Python and SQL.
  • •Comfort working across infrastructure, application logic, and data systems.
  • •Ability to create structure where none exists and move quickly without a fully defined roadmap.
  • •Strong technical judgment and communication skills, including running technical scoping with customers and translating it into execution plans.
Experience:3+ yearsStartup0→1Founding engineer
Skills:Technical judgmentCommunicationProblem-solvingAmbiguity tolerance
Tech Stack:PythonSQL

Company Brief

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Provides a privacy‑first platform that connects data holders with vetted AI developers to license and deliver high‑quality, multimodal training and evaluation datasets across healthcare, media, audio, and motion capture.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York City, United States
Founded: 2024
WebsiteLinkedIn