AI software Engineer Project Intern (Transaction Platform) - 2026 Start (BS/MS)

Our Team is building AI infrastructure and developer platform capabilities used by approximately 500 engineers. The team supports AI-native software development by improving shared tooling, platform workflows, and reusable technical building blocks across the engineering organization.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What You'll Gain

• Experience building AI infrastructure and platform capabilities for a real engineering organization of approximately 500 engineers. - Exposure to practical challenges in AI-native developer tooling, including knowledge systems, agent capabilities, and platform usability. - Opportunities to work on cross-functional infrastructure projects spanning backend, frontend, and developer workflow integration. - Mentorship and hands-on experience in applied AI platform engineering within a production engineering environment.

Responsibilities

• Contribute to AI infrastructure and platform development that supports internal engineering use cases at scale. - Build and improve knowledge base capabilities, including document ingestion, indexing, retrieval, and RAG-style pipelines. - Develop and refine AI Skills, including modular agent capabilities and reusable tool integrations. - Help optimize the experience of the unified AI Coding platform for engineering users. - Support public infrastructure work related to AI-native developer tooling, platform workflows, and internal integration patterns. - Collaborate with engineers across backend, frontend, and platform domains to prototype, test, and iterate on developer-facing AI systems. - Assist with evaluating system quality, reliability, and usability of AI platform components.