Explainable AI Engineer

Brain Gain Recruiting • Palo Alto, CA

4d • Remote

About The Position

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, and Explainable AI engine interfaces to data, human users, and Agentic AI.

Requirements

• 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.

Nice To Haves

• 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

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

Benefits

• Opportunity to learn from Stanford and Georgia Tech professors
• Work across algorithms and data pipelines
• Contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level