Life at UiPath

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 Principal AI Engineer, you will drive contributions to core components of our platform, with a major focus on developing capabilities like Context Grounding (https://docs.uipath.com/automation-cloud/automation-cloud/latest/admin-guide/about-context-grounding). This essential service provides the foundation for our AI Agents (such as those built with Autopilot and Agent Builder) to understand and interact effectively with enterprise data and applications.

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What you’ll do at UiPath:

• Lead the architecture, design, development, and operation of large-scale cloud services, particularly focusing on AI-driven components of the UiPath platform.

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

• Take ownership of software deliverables, ensuring they meet high standards of quality, security, scalability, performance, and maintainability.

• Champion and continuously improve engineering best practices across teams, including CI/CD, testing, security, and operational excellence, fostering a culture of quality and velocity.

• Incubate new ideas, stay abreast of emerging technologies, particularly in AI/GenAI, and drive their adoption where relevant to the product roadmap.

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

• Mentor and grow engineers across teams, fostering technical excellence, 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.

What you’ll bring to the team:

• A proven track record of 8+ years in software engineering, including significant experience architecting and delivering complex, large-scale commercial applications or platform services.

• Master's or PhD degree in Computer Science, Engineering, AI, or a related technical field, OR equivalent practical experience.

• Demonstrable experience in shipping commercial products or features leveraging Generative AI (GenAI) technologies. Deeper experience with specific Large Language Models (LLM), Retrieval-Augmented Generation (RAG), LLMOps, or transformer-based models is highly valuable.

• Expertise in key programming languages such as Python (especially with AI/ML frameworks), TypeScript, and C#, backed by solid object-oriented programming principles and computer science fundamentals.

• Deep understanding of data structures, algorithms, architectural design patterns (e.g., microservices, event-driven), and system design for building highly scalable, distributed, and reliable platform services.

• Significant experience designing, building, and operating cloud-based systems (Azure preferred, experience with AWS/GCP is also relevant).

• Strong grasp of multithreading, asynchronous programming, API design (REST, gRPC), and building reliable, high-performance cloud services.

• Experience with service-oriented architecture (SOA), microservices, and web services development.

• Proven ability to provide technical leadership, drive technical strategy for platform components, mentor engineers, and foster best practices (including CI/CD, automated testing, monitoring, alerting, and modern DevOps principles).

• Experience with infrastructure as code (IaC) principles and tools (e.g., Terraform).

• Ability to work effectively within globally distributed teams.

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