Explainable AI Engineer

Company Description:

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 have built and are operationally deploying hallucination-free Agentic AI for mission critical decision support that relies on proprietary Explainable AI engines for SME-explainable insights from existing data.

Job Description:

We’re hiring an Explainable AI Engineer to build, verify, and validate business impact predictions based on outputs of our AI Engines. 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 Operations Research features for the AI models
• Automation of data management 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 business impact prediction 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 building mission-critical analytical applications, working in a production environment
• Hands-on skills in at least some of mathematical methods in:
  • Operations Research
  • Bayesian statistics
  • Monte Carlo analysis
  • Mathematical optimization
  • Decision and Control
• Experience with MATLAB
• Model-based development / simulation-based verification
• Solid experience writing technical documentation
• Strong collaboration and communication skills; experience working with a software team
• Graduate Degree in Engineering or a related field
• U.S. Citizenship.

Pluses

• Supply chain and/ or sustainment in the aerospace industry
• Experience with Java and GitHub (Actions)
• Building SaaS applications
• Experience with GenAI and LLM augmentation (RAG)
• PhD

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.
• 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.

Graduate engineering degree, U.S. citizenship, production experience with mission-critical analytical applications, mathematical methods, MATLAB, simulation-based verification, technical documentation, and software collaboration.

Key Responsibilities

• developing predictions
• validating pipelines
• integrating AI

Skills & Tools

MATLAB, Java, GitHub, GitHub Actions, GenAI, LLM, RAG

Job Details

• Category: Engineering
• Seniority: Senior Level
• Commitment: Contract, Full Time, Part Time
• Workplace: Remote — United States
• Languages: English

About Brain Gain Recruiting

An industrial AI startup developing explainable analytics and agentic AI for aerospace and defense supply chain operations. — Industry: Information Technology