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AI Engineer

Job in Fresno, Fresno County, California, 93650, USA
Listing for: Storm3
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 250000 - 265000 USD Yearly USD 250000.00 265000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Engineer

Staff AI Engineer
AI Digital Twin for Metabolic Health
Remote, USA
$250k – $265k + equity

Join a Series E healthtech company using AI Digital Twin technology to reverse chronic metabolic disease. You’ll join the Core AI team as a senior technical leader, setting technical direction across AI products powered by Digital Twin AI, which combines predictive and generative AI to deliver individualized health insights to members every day. This is IC technical leadership, not people management: you set the bar for architecture, evaluation, and shared infrastructure across the org.

Responsibilities
  • Design and build core AI architecture spanning multiple product areas, ensuring coherence and reuse
  • Set the technical bar: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across teams
  • Take direct ownership of the hardest, most ambiguous technical problems and build the solution end to end
  • Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches
  • Identify and resolve systemic engineering gaps before they become team-wide problems
  • Raise the technical level of the team through code and design review, and mentor senior engineers
  • Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs
Requirements
  • 8+ years building AI/ML systems in production, with a track record of leading technical initiatives across multiple teams
  • Deep software engineering fundamentals: testing, CI/CD, system design, with demonstrated experience designing evaluation infrastructure and shared tooling for LLM systems
  • Proven experience setting technical direction and engineering standards at an organizational level
  • Production experience with LLMs, generative AI, prompt engineering, RAG, and iterative AI evals
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