Senior Software AI Engineer

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?

Join UiPath, where we combine automation and AI to accelerate human achievement. We are building the future of intelligent automation through agentic automation—creating agents that handle complex tasks autonomously. As a Senior Software/AI Engineer, you will drive contributions to our evaluations & agents online reliability platform, with a major focus on developing a platform to develop and run agents in production that reliably produce correct results. This product is a key pillar of our comprehensive AI Agents portfolio, helping users deploy AI with confidence and enterprise reliability: not only does the agent need to execute successfully, but it also needs to produce correct results. LLMs present unique challenges like hallucination, consistency, and explainability; come join us in solving these problems for our customers

• Design, build, and operate end‑to‑end features across the entire stack—from cloud‑native backend services and data pipelines to polished, accessible web UIs.

• Extend the Agent Builder platform with the ability to build design comprehensive evaluations, both at design time and runtime.

• Work alongside ML engineers to implement new techniques for ensuring reliable agents, such as dataset analysis, reinforced learning with human feedback (RLHF), online evaluations, and more.

• Collaborate cross‑functionally with product managers, UX designers, researchers, and other stakeholders to define, refine, and execute the technical product roadmap.

• Work directly with customers as they adopt AI and unblock; we work directly with customers building Agents and incorporate their feedback directly into our backlog.

• Lead the architecture, development, and operation of multi‑tenant cloud services, focusing on AI‑driven components of the UiPath platform.

• Implement robust public and internal APIs (REST, gRPC,, WebSocket) and event‑driven pipelines that connect AI services with user interfaces while ensuring scalability, security, and performance.

• Drive the technical strategy and evolution of system architecture, analyzing complex issues, proposing solutions, and ensuring alignment with business and technical needs.

• Own the full software‑delivery lifecycle, championing best practices in CI/CD, automated testing, security, observability, and operational excellence.

• Incubate new ideas—stay abreast of emerging technologies in Full‑Stack, Cloud, AI/GenAI, and drive their adoption where relevant.

• Mentor and grow engineers across teams, conducting design reviews, sharing knowledge, and helping them advance in their careers.

• Actively participate in hiring, onboarding, and attracting top engineering talent.

• Drive root‑cause analysis and implement long‑term solutions for production issues, ensuring system reliability and performance.

• 6+ years of professional software engineering experience with significant ownership of full‑stack, large‑scale web applications or platform services.

• Bachelor's, Master's, or PhD in Computer Science, Engineering, AI, or a related technical field OR equivalent practical experience.AI experience not necessarily required, if you can apply first principles to a new domain.

• Hands‑on experience shipping GenAI products, with knowledge of Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), vector search, evaluations, and LLMOps best practices.

• Proficiency in multiple programming languages across the stack —strong skills in Python (especially with AI/ML frameworks), TypeScript, C#, Go, Java.

• Backend mastery building scalable microservices and event‑driven architectures, employing relational & NoSQL databases, caching layers, and message brokers.

• Front‑end expertise with modern frameworks (React, Angular, or similar) and design‑system‑driven component libraries (e.g., Material UI), plus CSS/HTML – or a willingness to learn.

• Cloud‑native engineering skills—designing, deploying, building, and operating services on Azure (preferred) or AWS/GCP, leveraging containers (Docker, Kubernetes) and serverless patterns.

• Expertise in API design & asynchronous programming, delivering reliable, high‑performance web services.

• Strong understanding of data structures, algorithms, and architectural design patterns for highly scalable, distributed, and reliable systems.

• Proven technical leadership, mentoring engineers, driving technical strategy, and fostering best practices (CI/CD, automated testing, monitoring, alerting, secure coding).

• Ability to work effectively within globally distributed teams and communicate complex technical concepts clearly to diverse audiences.

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.