Senior Software Engineer

Casca is building AGI for banking. YC '23.

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.

As a Senior Software Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get affordable funding.

What you'll do:

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

Our Culture

Ownership: We take responsibility and do not assign blame. Building great software is hard and when something is broken, we ask ourselves "How can I fix it?"

Competition & Excellence: We are a fun group of former competitive athletes and gamers. We like to win and we know that the only thing between us and the title is our own ability to improve every day.

Who are we?

All-Stanford team of AI/ML engineers
Industry experts that have grown banking software companies to $150M+ in ARR