AI-Driven Software Engineer Intern — Ship Production-Ready Apps

Kastle; San Francisco (CA); On-site; USD 40,000 - 60,000; Part time

Job summary

Kastle is seeking a Software Engineer Intern to help build AI-powered software used by millions. You will work with veteran engineers to design, build, and ship production software and AI Agents deployed at major banks. You’ll join a fast-moving team with ownership, feedback, and growth opportunities.

This role emphasizes learning and solving meaningful problems in a real-world setting. As an intern, you’ll gain exposure to end-to-end software development from idea to deployment, while

Qualifications

• Pursuing or recently completed CS/SE degree or equivalent.
• Strong programming fundamentals in at least one language from the list.
• Experience building personal projects, coursework, hackathon projects, or internships.

Responsibilities

• Ship agent capabilities that run in production at national banks and servicers.
• Contribute to evals and QA harnesses for reliable AI scale in production.
• Work with latest voice and language models and integrate into enterprise environments.
• Sit in on real customer calls and learn deployment from executives.
• Contribute to technical documentation and internal tooling.

Skills

Python

Go

Java

JavaScript

TypeScript

C++

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science/Software Engineering or related field

Master's degree in a related field

Bootcamp program in software development

Tools

Web APIs

Databases

Cloud platforms

Job description

Kastle is seeking a Software Engineer Intern to help build AI-powered software used by millions. You will work with veteran engineers to design, build, and ship production software and AI Agents deployed at major banks. You’ll join a fast-moving team with ownership, feedback, and growth opportunities.

This role emphasizes learning and solving meaningful problems in a real-world setting. As an intern, you’ll gain exposure to end-to-end software development from idea to deployment, while