ZipRecruiter
Overview
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr