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

Job Description:

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

Candidate Requirements:

Minimum Qualifications: - Currently pursuing Undergraduate/Master in Computer Science or a related technical field. - Solid programming skills and software engineering fundamentals. - Hands-on experience with one or more areas related to AI systems, such as information retrieval, LLM applications, agents, RAG pipelines, or developer tools. - Familiarity with backend and/or frontend development in modern engineering environments. - Ability to work on infrastructure or platform problems with attention to reliability, maintainability, and developer experience. - Strong problem-solving skills and clear written/verbal communication. Preferred Qualifications: - Experience with knowledge base systems, document processing pipelines, search, or retrieval infrastructure. - Experience building internal tools, developer platforms, or productivity tooling. - Familiarity with Java and/or React. - Familiarity with engineering workflows and tools such as GitLab, CI/CD systems, or project management platforms such as Meego. - Experience with evaluation, debugging, or operational improvement of AI-assisted workflows