UiPath
Enterprise · RPA
- HQ
- New York City, US
- Founded
- 2005
- Size
- 4,000+
- Website
- uipath.com
Enterprise · RPA
Currently tracking 17 active AI roles, with 63 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $200k–$290k (avg $235k).
UiPath has 31 active AI-related job listings. The majority of these roles, 65%, are focused on agents. Engineering is the dominant function, with 23 roles. The company is hiring for roles related to agent orchestration, model serving, and tool use. Over the last 30 days, UiPath posted 18 new AI roles, representing an 18% decrease compared to the previous 30-day period.
UiPath currently has 31 active AI-related roles in our index. The most common open titles are: Principal Product Manager (2), Principal Software Engineer (2), Principal Software Engineer, Site Reliability (2), Senior Software Engineer- Document Understanding (2), Data Scientist. Most positions are in Engineering and Product.
UiPath's active AI hiring is concentrated in: agents (68%), serving infrastructure (19%), application (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
UiPath is hiring AI talent in: United States (9 roles), Romania (9 roles), India (6 roles), United Kingdom (3 roles).
Job postings at UiPath most frequently mention: Statistics, Software Engineering, Orchestration, Agentic Systems, Content Generation.
In the past 30 days, UiPath has posted 21 new AI-related roles. That is a +62% change versus the prior 30 days (13 → 21).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Machine Learning Services Senior Software Engineer to build and operate the core Machine Learning Services (MLS) platform at UiPath, focusing on distributed systems, high-throughput model serving, and asynchronous training workflows. The role involves designing and implementing Rust-based API gateways, Python ML compute workers, and a custom job queue, with a focus on performance, concurrency, and scalability for large-scale AI and Document Understanding products. | Serve | 7 |
| Principal Software Engineer, Site Reliability UiPath is seeking a Principal Software Engineer for their Site Reliability team. This role focuses on building and scaling SRE platform systems and capabilities, increasingly powered by AI. The engineer will design, engineer, and build these systems as products, participate in livesite monitoring, drive availability and performance improvements, and ensure technical deliverables meet high standards. A key aspect is driving adoption of these platforms by directly engaging with other teams and embedding best practices into the systems themselves. The role requires a strong background in distributed systems, experience with AI-powered applications in production, and proficiency in object-oriented programming. |
| Serve |
| 7 |
| Senior Software Engineer- Site Reliability Senior Software Engineer for UiPath's Site Reliability team, focusing on building and scaling AI-powered SRE platforms and systems that ensure compliance, SLA promises, cloud access policies, cost governance, observability, and reliability. The role involves designing, engineering, and shipping these platforms as products, driving adoption through direct integration and support, and improving availability, scalability, and performance based on live site learnings. Requires strong software engineering fundamentals, experience with distributed systems, cloud infrastructure, and building AI-powered applications in production. | Serve | 5 |
| Senior Software Engineer- Document Understanding This role involves developing and evolving a cloud offering for training and deploying Machine Learning models at scale within the Document Understanding platform. The engineer will create and improve features for custom model training to split, classify, and extract data from documents, impacting the platform's scalability, quality, performance, and reliability. | Serve | 5 |
| Senior Software Engineer- Document Understanding This role involves developing and evolving a cloud offering for training and deploying Machine Learning models at scale within the Document Understanding platform. The engineer will create and improve features for custom model training to split, classify, and extract data from documents, impacting the platform's scalability, quality, performance, and reliability. | Serve | 5 |
| Principal Software Engineer, Site Reliability This role is for a Principal Software Engineer on the Site Reliability team, focusing on building and scaling AI-powered platforms and systems that ensure compliance and SLA promises for customers. The role involves designing, engineering, and shipping these systems as products, driving adoption, and improving reliability, scalability, and performance. It requires a strong software engineering background with experience in distributed systems, internal platforms, and AI-powered applications. | Serve | 5 |