Software Engineer Intern: AI-Driven FinTech Platform

Valon Tech; New York (NY); On-site; USD 68,000 - 97,000; Part time

Job summary

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We are seeking engineering interns who will learn and contribute to a modern mortgage servicing platform with high-scale demands.

You’ll work alongside teams from Stripe, Jane Street, Meta, and Google, enjoying autonomy and the chance to impact billions in loans. Ideal candidates are pursuing a BS in CS or related field, possess strong programming and design skills, and can operate in a

Qualifications

• Pursuing a Bachelor’s degree in Computer Science or related field.
• Exceptional programming and design skills.
• Ability to build quality software at scale across teams.
• Strong communication in a collaborative, technical environment.
• Experience with web, mobile, distributed systems, or infrastructure.
• Curiosity and willingness to learn quickly.
• Authorized to work in the U.S.

Responsibilities

• Learn new concepts quickly and apply to challenging problems.
• Design and build robust infrastructure to handle regulations.
• Dive deep into the inner workings of a complex industry.
• Collaborate with Product and Design to deliver great user experiences.

Skills

Programming skills

System design

Communication

Distributed systems

Work authorization

Education

Bachelor's degree in Computer Science or related field

Tools

Python

React

Docker

Kubernetes

Google Cloud Platform

Job description

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We are seeking engineering interns who will learn and contribute to a modern mortgage servicing platform with high-scale demands.

You’ll work alongside teams from Stripe, Jane Street, Meta, and Google, enjoying autonomy and the chance to impact billions in loans. Ideal candidates are pursuing a BS in CS or related field, possess strong programming and design skills, and can operate in a