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 for 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.
We are a lean development team looking for a talented full-stack software engineer to build our next-generation cloud platform and applications around our proven AI Analytics Engines. This role is ideal for a proficient engineer passionate about developing cutting-edge solutions in the realm of Industrial AI applications.
We are developing mission critical AI-centric application for Aerospace & Defense and Supply Chain. Our scalable, high-performance, high-security web application leverages modern cloud development technologies.
Overall, the position is about delivering results generated by core AI engines, to end-users, in a scalable and flexible way. You will also have excellent opportunities to expand your knowledge of Infrastructure, AI Engine, AI product, and DevSecOps.
Main Responsibilities:
You’ll start on a consulting basis (competitive hourly rate), with the opportunity to move into a full-time role with equity as you demonstrate impact.
Must-haves
Pluses
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