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Bellevue, Washington, United States
Hybrid
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
UiPath is a global leader in business orchestration and automation. Our platform helps enterprises coordinate end-to-end processes across AI agents, robots, people, and systems, with the governance needed to run agentic automation at scale.
As an AI Engineer Intern, you will help build the AI agents that run on our platform. You will contribute to core components, with a focus on developing capabilities like Context Grounding, Conversational Agents, and Agent Memory. These essential services give our AI agents the foundation to understand and interact effectively with enterprise data and applications.
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 our 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.
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 before relying on it
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.
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Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
