AI Application Engineer
We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in AI/ML and Aerospace & Defense analytics.
Our product: an Enterprise SaaS platform that powers supply chain optimization for the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly sustainment budget). It combines proprietary AI Engines that handle scarce/noisy data with Agentic AI interfaces (LLMs + RAG) to deliver explainable insights.
We’ve delivered $200M+ in documented cost savings , secured repeat USAF contracts, and are scaling 4x growth with a medium-term M&A exit strategy.
Job Description
We’re hiring an AI Application Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows . You’ll work across algorithms, pipelines, and interfaces—making our AI explainable, scalable, and impactful.
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.
Main Responsibilities:
- Develop & support AI Engines (algorithms, interfaces, documentation, customization).
- Build data pipelines (consistency checks, preprocessing, normalization).
- Support scalable deployment via our CI/CD + DevSecOps pipelines .
- Integrate AI outputs with LLM tools via RAG for an Agentic AI experience.
- Collaborate with the cloud team and occasionally with customers (data issues, insights, business value).
Qualifications
Must-haves
- Degree in Engineering, Applied Math, CS, Physics, or related field.
- Experience with analytical applications and technical documentation .
- Hands-on skills in at least some of:
- Statistics
- Mathematical optimization
- Bayesian estimation
- Signal processing
- Experience with MATLAB , Java , GitHub (Actions) .
- Strong collaboration and communication skills.
- U.S. Citizenship .
Pluses
- Model-based development / simulation-based verification.
- Shell scripting, Golang.
- Experience with GenAI / LLM augmentation (RAG) .
Additional Information
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
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