AI Engineer Intern
UiPath
Bellevue, WAFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- CI/CDLLMsProduct managementPythonTypeScriptMachine learning
- Work
- On-site in Bellevue · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python85%LLMs81%CI/CD38%Product management12%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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About the Role
As an AI Engineer Intern at UiPath, you will help build the AI agents that run on our platform. You will contribute to core components, focusing on developing capabilities like Context Grounding, Conversational Agents, and Agent Memory. These services provide the foundation for AI agents to understand and interact effectively with enterprise data and applications.
Location: Bellevue, WA (onsite/hybrid)
Duration: 12-week summer internship (May/June - August/September 2027)
Key Responsibilities
- Contribute to the design, development, and operation of AI-driven components within the UiPath platform.
- Assist in the implementation of features and systems related to AI services.
- Collaborate with senior engineers to ensure software deliverables meet high standards of quality and performance.
- Engage with and learn engineering best practices, including CI/CD, testing, and operational excellence.
- Stay current with emerging technologies in AI and Generative AI.
- Work closely with product managers, UX designers, and other engineers to understand and contribute to the technical product roadmap.
- Participate in addressing customer tickets and begin to form a perspective on customer pain points.
- Understand key customer scenarios and help automate them through testing.
Requirements & Tech Stack
- Currently pursuing an MS or PhD in Computer Science, Engineering, AI, or a related technical field.
- Up to 1 year of software engineering experience through internships, research, or coursework.
- A foundational understanding of Generative AI (GenAI) technologies, with exposure to Large Language Models (LLM) or Retrieval-Augmented Generation (RAG) being highly valuable.
- Strong proficiency in programming languages such as Python (especially with AI/ML frameworks), TypeScript, or C#.
- A solid grasp of object-oriented programming principles and computer science fundamentals, including data structures and algorithms.
- An understanding of API design (REST, gRPC) and asynchronous programming concepts.
- Experience using AI coding assistants (such as GitHub Copilot, Cursor, or Claude) to write, debug, and refactor code, with the judgment to review and test AI-generated output.
- An ability to work effectively within a globally distributed team.
- Excellent communication skills and the ability to articulate technical concepts.
- A willingness to seek feedback and apply best practices to improve performance.