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.
Job Description 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
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
Qualifications Must-haves
Experience with productized analytical applications
Experience building mission-critical applications as a part of a team
Hands-on skills in at least some of mathematical methods in: Statistics
Bayesian estimation
Mathematical optimization
Decision and Control
Experience with
MATLAB
Experience in Java and GitHub (Actions).
Solid experience writing technical documentation
Strong collaboration and communication skills.
Bachelor’s Degree in Engineering or a related field
U.S. Citizenship .
Pluses
Model-based development / simulation-based verification
Operations Research
Supply chain and/ or MRO in the aerospace industry
Building SaaS type applications
Shell scripting, Golang.
Experience with GenAI and LLM augmentation (RAG)
An advanced degree
Additional Information US Citizenship Required:
This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
A background check and a drug check may be required.
Location:
This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus.
You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.