Explainable AI Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Construct, verify, and validate predictions regarding business impact based on outputs from the AI Engine.

• Comprehend, develop, and assist in analytics related to business impact predictions within Explainable AI Engines.

• Create, enhance, verify, and validate segments of the data processing pipeline.

• Facilitate the scalable deployment of AI technologies.

• Integrate Explainable AI with LLM tools to provide an Agentic AI experience.

• Collaborate with the cloud software team and engage with customers as needed.

• Document Explainable AI functionalities for customer users and internal software developers.

• Develop Operations Research features tailored for AI models.

• Automate data management processes to enhance scalability.

• Conduct aerospace-grade verification and validation for essential functions using simulations.

• Create interfaces for Explainable AI engines that interact with data, human users, and Agentic AI.

⛳️ Requirements

• Proven experience in building mission-critical analytical applications within a production setting.

• Proficient hands-on skills in Operations Research, Bayesian statistics, Monte Carlo analysis, mathematical optimization, or decision and control methodologies.

• Familiarity with MATLAB.

• Experience in model-based development and simulation-based verification.

• Strong background in writing technical documentation.

• Experience collaborating with a software development team.

• A graduate degree in Engineering or a related discipline.

• U.S. Citizenship is mandatory.

• Capability to work with Controlled Unclassified Information for the Department of Defense.

• Background checks and drug screenings may be necessary.

• Preferred: experience in supply chain and/or aerospace sustainment.

• Preferred: familiarity with Java and GitHub Actions.

• Preferred: experience in developing SaaS applications.

• Preferred: knowledge of GenAI and LLM augmentation (RAG).

• Preferred: possession of a PhD.

🏝️ Benefits

• Opportunity to gain insights from professors at Stanford and Georgia Tech.

• Option to begin as a contractor, with full-time or part-time availability, requiring a minimum of 10 hours/week.

• Position available for remote work.

• Full-time employment option available.