Technology team at Zest AI builds tools to reduce risk, increase accuracy, fairness, and profitability by meeting the needs of financial institutions and their customers around the world. By leveraging a combination of machine learning and vast amounts of data, Zest seeks to challenge traditional credit scoring models, while expanding our proprietary AI-explainability technology across the fintech industry.

We’re seeking an AI Engineer (Gen AI) that shares the same passion in building enterprise-level SaaS products that integrate with cutting edge AI technologies. We're a mission driven organization collectively challenging the traditional financial lending landscape and we're excited to have like-minded engineers join our initiative!

Key Responsibilities:

• Become a key contributor to LuLu - Zest AI’s GenAI SaaS product built for lending.
• Work within our GenAI team and build industry leading AI applications. Develop advanced GenAI features including data analytics and intelligent search.
• Lead Generative AI research initiatives to help us get on top of latest breakthroughs. Design and execute scientific experiments and evaluate results to help improve performance.
• Write and deploy production code in Python that supports client facing applications.
• Work closely with a cross-functional team of Data Scientists, Analysts, Software Engineers, Product managers to deliver high-quality products..

Requirements:

• A minimum of a Master’s degree in a quantitative field (Computer Science, Data Science, Engineering, etc.) preferred
• Strong experience with modular/modern OOP software design using Python.
• Strong analytical skills. Proficient with data analysis and visualizations using Pandas, Numpy, SQL, etc.
• Familiarity with source version control software, e.g., Git.
• Strong statistical and analytical knowledge to tackle complex and often underconstrained data-driven problems.
• Knowledge and experience with GenAI applications (agentic framework, RAG, prompt engineering, etc.) is a strong plus but not required
• Excellent communication and collaboration skills.
• Established computer science fundamentals in data structures and algorithms.
• Passionate about GenAI and how it can improve the world.