About this opportunity
Zest AI lists this Software Engineer [AI Underwriting] opportunity in burbank, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Founded in 2009, Zest AI has been pioneering innovative AI technology with a mission to expand credit access to create opportunities for more Americans to pursue their financial goals. Zest AI is transforming the $17 trillion US consumer credit market by delivering AI technology that helps lenders identify creditworthy borrowers overlooked by traditional methods, while leveling the playing field so financial institutions of all sizes can harness AI to provide better lending experiences.
With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, Zest AI is a leader in financial technology, providing financial institutions with AI tools that create a more resilient US financial system and a stronger U.S. economy. With over 600 active AI models, financial institutions rely on Zest AI's comprehensive suite of solutions spanning marketing, underwriting, fraud detection, lending intelligence, and more to make smarter lending decisions while improving profitability. This US-based technology as a service company is headquartered in Los Angeles, California.
About the Role
We’re seeking backend Software Engineers who share a passion for building enterprise-level web services that integrate with cutting-edge machine learning technologies. We're a mission-driven organization collectively challenging the traditional financial lending landscape; and we're seeking like-minded engineers to join our initiative! You will join a team of highly-skilled Software Engineers and Data Scientists, where your contributions in software design and systems development will impact our clients' businesses by +$100M in ROI. This hands-on position offers opportunities to collaborate with technical teams across our organization to deliver features while reinforcing engineering best practices. We are language-agnostic and do not require experience with specific technologies. At Zest AI, we prioritize intuition and seek engineers who can learn quickly, enabling us to adapt to customer requirements and leverage evolving technologies.
What You’ll Do
Design, build, and maintain RESTful APIs for B2B SaaS solutions
Develop Python packages and tooling for model deployment and data science workflows
Work with AWS or similar cloud platforms to deploy and scale services
Collaborate with data scientists, product managers, and other engineers to meet business goals
What We’re Looking For
Minimum 4 years of professional experience in back-end or full-stack engineering, developing production code
Proficiency in Python (preferred) or other OOP languages
Hands-on experience with AWS or similar cloud technologies
Familiarity with CI/CD best practices
Demonstrated experience designing and implementing RESTful APIs
Strong CS fundamentals and problem-solving skills
Exposure to production environments (bonus if in a B2B SaaS setting)
Equal Opportunity Statement
Creating a diverse and inclusive culture where all are welcomed, valued, and empowered to achieve our full potential is central to who we are and our future direction. We believe that diverse backgrounds, experiences, and perspectives foster innovation and collective success. Zest AI is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.
Our core values are Communication, Collaboration, Bias for Action, Client-centricity, and Heart. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog (
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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Inferred from the description for this job
Medical insurance, Vision insurance, 401(k), Paid maternity leave, Paid paternity leave, Tuition assistance
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Worksite address
burbank, CA, 91520, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.