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AI Engineer - New Verticals

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5 days ago
Remote, WorldwideMid Level

Responsibilities

  • Partner with the GM and early customers to define the vertical’s technical requirements and strategy.
  • Build reusable patterns, integrations, tooling, workflows, and infrastructure on top of the existing platform.
  • Make architectural decisions about platform-layer capabilities versus vertical-specific tooling.
  • Lead initial customer engagements from technical scoping through delivery and post-launch support.
  • Write maintainable production code that addresses customer needs while creating reusable infrastructure.
  • Translate complex customer requirements into durable systems and execution plans.
  • Identify repeatable use cases, infrastructure gaps, and opportunities to productize customer-driven capabilities.
  • Create the technical playbook and serve as the technical voice for the vertical.
  • Collaborate with Product, Engineering, Data Lab, Solutions, and other FDEs on shared technical patterns.

Requirements

  • At least 3 years of engineering experience, including meaningful 0-to-1 work as a founding engineer, early technical lead, or builder in an ambiguous environment.
  • Strong engineering generalist instincts with a backend and data orientation.
  • Hands-on experience with Python and SQL.
  • Comfort working across infrastructure, application logic, and data systems.
  • Ability to create structure in ambiguous environments and move quickly without a fully defined roadmap.
  • Strong technical judgment balancing immediate delivery with long-term architecture.
  • Strong written and verbal communication skills with senior technical and business stakeholders.
  • Ability to independently conduct customer technical-scoping conversations and translate them into execution plans.
  • Prior founding-engineer experience at a successful startup is preferred.
  • Experience extending an existing platform into a new domain and turning customer-specific work into reusable infrastructure or product capabilities is preferred.
  • Familiarity with ML, NLP, or LLM-based systems is preferred.

Tech Stack

Categories

Forward Deployed
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About Protege

1-10 employees
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