We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.

We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data.

We’re hiring an Explainable AI Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including

• Development of deep math features for the models, ML, and inferences
• Automation of data wrangling and cleansing towards scalability
• Aerospace grade V&V for mission critical functions using simulations
• Explainable AI engine interfaces to data, human users, and Agentic AI

You’ll start on a consulting basis (at competitive hourly rate), with the opportunity to move into a full-time role with equity as you demonstrate impact.

Main Responsibilities:

• Understand, develop, & support deep math analytics in Explainable AI Engines
• Build, evolve, verify, and validate data processing pipeline segments
• Support scalable deployment of the AI
• Integrate Explainable AI with LLM tools for Agentic AI experience
• Collaborate with the cloud software team and occasionally with customers
• Document Explainable AI for customer users and internal software developers

Must-haves

• Experience with productized analytical applications and technical documentation.
• Hands-on skills in at least some of mathematical methods in:
  • Statistics
  • Bayesian estimation
  • Mathematical optimization
  • Decision and Control
• Experience with MATLAB, Java, GitHub (Actions).
• Strong collaboration and communication skills.
• U.S. Citizenship.

Pluses

• Model-based development / simulation-based verification
• Shell scripting, Golang.
• Experience with GenAI and LLM augmentation (RAG)

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.

This is a contract-to-hire role.