About Keystone AI US LLC

Keystone.AI is an enterprise software company building foundation models for manufacturing supply chains. Our Deep Enterprise AI Platform is a scientific decision engine that integrates with — not replaces — existing ERP, planning, and execution systems to drive faster, economically optimal decisions across the enterprise.

Incubated within Keystone and now operating independently, Keystone.AI helps global manufacturers reduce inventory, improve service levels, shorten planning cycles, and increase free cash flow — all by replacing manual decision loops and static heuristics with intelligent, system-driven optimization.

We are based in Bellevue, WA and have a hybrid work environment. 

About the role

Keystone.AI Software Engineers will leverage a deep understanding of software engineering, and problem solving to build scalable, robust solutions for clients. They will lead the entire development process, work with our econometricians, scientists, and engineering teams to scope solutions, deploy ML models into production environments, and set up monitors, alerts and diagnostic tools to support model operations.  

We are looking for a talented and versatile Software Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable software applications from end to end.

What you'll do
In your role you will be instrumental in developing and deploying cutting-edge software applications and underlying tooling to deliver machine learning models. Your primary responsibilities will include:

• Collaborating with cross-functional teams to identify business challenges and opportunities for software engineering techniques
• Designing and developing software solutions to extract valuable insights from large and complex datasets
• Conducting thorough data analysis and pre-processing to ensure high-quality input for the systems
• Integrating machine learning solutions into existing systems and processes and scaling them for real-world applications
• Continuously improve CI/CD and testing frameworks
• Continuously researching and staying updated on the latest advancements in software development
  
  

Basic Qualifications

• Bachelor's degree in CS with 1-2+ years of professional experience as a Software Engineer with a focus on production systems at scale
• Experience with optimization systems - such as supply chain or decision systems.
• Proficiency with the programming languages Python and Typescript, and experience with machine learning libraries, tools, and patterns. 
• Experience with building out supply chain optimization or decision systems and platforms.
• Familiarity with cloud computing platforms and distributed computing frameworks
• Excellent communication and teamwork skills to collaborate effectively with diverse stakeholders
• Candidates must be authorized to work in the U.S. without sponsorship.
  
  

Preferred Qualifications

• Familiarity with the implementation of econometrics including double machine learning, time series analysis, and optimization techniques
• 1+ years of experience deploying machine learning models into production environments
• Experience with virtualization and cluster management tools, including Docker & Kubernetes
• Experience with programming languages like R, Java, and C++.
• Strong problem-solving skills and the ability to work independently in a dynamic environment
  
  

US Salary Range: $101,000 - $180,000, plus an annual discretionary bonus, 401k , and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, qualifications.

At Keystone.AI, we believe diversity matters. At every level of our company, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.AI.