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Founding Applied AI Engineer

h3 Technologies, LLC · San Francisco, CA

Spotted 1h ago

Job details

Level
Mid level
Experience
3+ years
Posted
Oct 15, 2026
Last confirmed open
Oct 15, 2026
Job description

About this role

Position: Founding Applied AI Engineer Location: San Francisco, California, United States Terms: Direct Hire About the Role You'll be the company's first senior AI hire, owning the quality and intelligence of our multi-channel marketing agents end to end. Working directly with the founder, you'll shape agent architecture, evaluation systems, and learning loops while building out the AI team from the ground up.

This role is critical to scaling the reliability and effectiveness of agents operating across SEO, content, social, and search channels.

What You'll Do

  • Improve agent output and content quality across Reddit, LinkedIn, X, and article writing, with evaluation systems that make quality measurable.
  • Improve SEO and generative engine optimization (GEO) performance.
  • Design feedback loops that enable agents to learn from real-world results and performance signals at scale.
  • Improve AI infrastructure, agent architecture, model strategy, and the data pipelines that power them.
  • Hire and lead the AI team as the organization grows.

What We're Looking For

  • 3+ years building production ML or AI systems, with recent hands-on work shipping LLM products or agents.
  • Proven experience designing evals and learning from outcome signals at scale in domains like search, ranking, or recommendations.
  • Strong TypeScript (Next.js) and Python proficiency for data analysis, evals, and model work; you ship end to end.
  • Sharp judgment about output quality and the ability to make it measurable and actionable.
  • Ownership experience in a startup or small team environment.
  • Search or ranking experience, particularly with Google or AI answer engines.
  • Background from a leading AI lab or top research program.
  • Marketing or go-to-market experience is a plus.
  • Candidates with recommendation systems, algorithms, or reinforcement learning experience are also relevant; a marketing background is not required.
  • Screening questions Describe an agent quality or ranking improvement measured through outcome signals.
  • What changed and what improved?
  • Confirm your interest, availability, compensation expectations and fit with the stated work location/arrangement.
  • Please include the original resume, location, pay expectations, work authorization and availability.
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