Explainable AI Engineer

Brain Gain Recruiting • Palo Alto, CA

14d • Remote

About The Position

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

Requirements

• 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.

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees