<b>About the Company</b>

This is a unique opportunity to get on the core team of an Industrial AI start-up founded by a Stanford professor and led by recognized thought leaders in AI/ML and Aerospace & Defense analytics.

Our main product is Enterprise SaaS for supply chain in aircraft fleet logistics, sustainment, maintenance, and reliability. The product is built around proprietary AI Engines that handle scarce and not-so-clean historical data. We are in the process of integrating LLM Agentic AI as a data interface that is easier for end users.

The company has won substantial repeat business from US Air Force Supply Chain operations for the world largest fleet of 5000 aircraft and yearly sustainment budget of $100B. We are growing 4x in the short term, and looking into an M&A exit in the medium term. We are a technology leader in Enterprise AI for supply chain with strong customer pull and $200M of documented cost avoidances delivered.

<b>Job Description</b>

The ‘Rocket Science’ processes for our mission-critical Explainable AI (xAI) involve rigorous cross validation of data, AI testing, verification, and validation. Custom developed AI/ML algorithms for the scarce data are packaged as integrated AI Engines. Our lean team is looking for an AI Application Engineer who will be ultimately responsible for the AI Engines, their RAG integration with Agentic AI using commercial LLM products, and user experience.

A successful candidate will understand what our app does, customer business cases, how the AI works, and help make feature development and DevOps processes work smoothly. Depending on the interests and ability to contribute, this position may become more Agentic AI, data engineering, AI Engines, customer business impact, secure cloud computing, or product management oriented.

You will start in a consulting position at a competitive hourly rate. As you demonstrate ability to contribute, you will have an opportunity to transition to full-time with startup stock option arrangement.

<b>Main Responsibilities:</b>

• Develop and support AI Engines using core AI functions. This includes AI results presentation, internal and external interfaces, engineering documentation, and AI customization to address customer issues.
• Support data engineering, data consistency checking, and preprocessing pipelines that produce normalized AI data from raw data
• Support scalable AI deployment. The analytics CICD pipeline includes aerospace grade algorithm verification | test coverage | reporting logic | compilation and build. It produces object code and resource files that feed into DevSecOps pipeline for cloud app.
• Interface with and support cloud software team that deals with Analytics Engine as a black box with well-defined API.
• Occasionally interface with customers on data issues, analysis result interpretation, and, eventually, on business value of the AI analytics.
• Document and coordinate improvement for components, products, and processes. Integrate existing AI Engine output with off-the-shelf LLM tool through RAG to create desirable Agentic AI experience for end user.

<b>Qualifications</b>

Must-haves

• Degree in Engineering, Applied Math, Computer Science, Physics, or a similar discipline, from a top school.
• Demonstrated ability to produce thorough technical documentation (e.g., theses, research papers, publications, or substantial GitHub projects).
• Strong industry experience with analytical applications
• Hands-on experience with at least some of the following: statistics, mathematical optimization, Bayesian estimation, signal processing, and related practical applications
• Rigor and attention to detail in mission critical mathematical software development.
• MATLAB experience
• Java code maintenance experience
• Experience with GitHub including GitHub Actions
• Experience developing and maintaining analytical code base.
• Excellent communication and collaboration skills
• US Citizenship

<b>Pluses</b>

• Familiarity with model-based development and simulation-based verification
• Shell scripting
• Golang
• At least some experience with GenAI and LLM augmentation through RAG

<b>Additional Information</b>

• US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
• Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office is a plus.
• Flexible schedule initially: full-time or part-time but no less than 10 hours/ week.