Software Engineer

Keystone AI is a global technology and services firm specializing in enterprise AI, economics advisory and technology strategy. Keystone’s Deep Enterprise™ AI platform—built by AI/ML industry pioneers—helps large enterprises optimize business decisions at scale. By combining advanced technology, strategic consulting, and applied econometrics, Keystone delivers innovative solutions to organizations across the technology, business, legal, and government sectors. Founded in 2003, Keystone operates globally with offices in New York, San Francisco, Boston, Seattle, London, and Dubai.

Keystone.AI employs the world’s best AI/ML science and technology practitioners with unparalleled experience implementing highly complex, massive-scale algorithms and models to help companies make better decisions across manufacturing, supply chain management, sales, and marketing.

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

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.

Role and Responsibilities: 

As a Keystone.AI Software Engineer, the successful candidate will be instrumental in developing and software applications to deliver machine learning models. The primary responsibilities will include: 

• Develop and maintain scalable full stack applications 
• Write clean, maintainable, and testable code across the entire stack (back end, front end, API, databases)
• Collaborate with product managers and other developers to define, design, and ship new features 
• Participate in code reviews and contribute to continuous improvement of engineering best practices
• Continuously improving CI/CD and testing frameworks and methodologies
• Design and manage database integrations and schemas
• Stay up to date on emerging tech and frameworks

The ideal candidate:

• Possesses at least 0-2 years of experience in software engineering, and system architecture, with demonstrated expertise in developing and building infrastructure for model scaling and pipeline automation.
• 3+ years of backend or full stack development
• Is proficient in programming languages such as Python, R, or Java, and has experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Is familiar with cloud computing platforms and distributed computing frameworks
• Is an excellent communicator and has strong teamwork skills to collaborate effectively with diverse stakeholders

Minimum Requirements:

• Bachelor’s degree in computer science, Engineering, or a related scientific field
• 1+ years of experience as a Software Engineer with a focus on production systems at scale
• Proficiency in programming languages such as Python, R, or Java, C# and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, Jax)
• Familiarity with cloud computing platforms and distributed computing frameworks
• Strong problem-solving skills with the ability to work both independently and collaboratively in a dynamic environment
• Candidates must be authorized to work in the U.S. without sponsorship.

US Salary Range: $101,000 - $180,000, plus an annual discretionary bonus, 401k contribution, 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 we believe diversity matters. At every level of our firm, 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.