We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in AI/ML and Aerospace & Defense analytics.
Our product: an Enterprise SaaS platform that powers supply chain optimization for the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly sustainment budget). It combines proprietary AI Engines that handle scarce/noisy data with Agentic AI interfaces (LLMs + RAG) to deliver explainable insights.
We’ve delivered $200M+ in documented cost savings, secured repeat USAF contracts, and are scaling 4x growth with a medium-term M&A exit strategy.
We’re hiring an AI Data Intelligence Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll work across algorithms, pipelines, and interfaces—making our AI explainable, scalable, and impactful.
You’ll start on a consulting basis (competitive hourly rate), with the opportunity to move into a full-time role with equity as you demonstrate impact.
Main Responsibilities:
Must-haves
Pluses
US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office is a plus. Candidates should be available for occasional on-site meetings.
This is a contract-to-hire role.