About the role
* Contribute rapidly to our software platform that automates the lending process and helps our customers operate their banks more efficiently
* Develop and own new features that increase value for our customers
* Propose meaningful improvements to our software architecture and design patterns
* Learn and drive engineering best practices
* Leverage automating testing and continuous integration / continuous delivery in order to rapidly iterate on our product
# What you'll bring:
* 4+ years of experience in software engineering, with a strong focus on front-end and full-stack development - machine learning, AI and natural language processing is a plus
* Proven track record of planning and executing significant projects with long-term impacts
* Solid understanding of modern programming languages and frameworks (e.g., React, TypeScript, Next.js, Python, etc.)
* Experience with database technologies (Postgres) and cloud platforms (AWS)
* Strong problem-solving skills and a knack for innovative thinking
* Excellent communication skills and a collaborative team spirit
About the company
Casca is building AGI for banking.
We are replacing 30+ year-old legacy technology with AI-native systems of record that automate 90% of the manual work humans used to have to do.
Our first product is an AI-native Loan Origination System - with a built-in AI Agent, called Sarah. Sarah communicates with small business loan applicants via email or sms, guides them through the application process and prepares the loan file for a human underwriter.
Why? Small businesses are the heart of the American economy and a lot of banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes and unlocks affordable, quick bank funding for the 30M+ small businesses in the US as opposed to the high interest rates from online lenders.
Who are we?
All-Stanford team of AI/ML engineers
Industry experts that have grown banking software companies to $150M+ in ARR
