LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works.
About the Role Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years.
As a Principal Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes.
You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation.
What You'll Do - Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants.
- Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow - Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems.
What We're Looking For: - Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production - Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React.
Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows - Distributed systems
Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems
Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience.
Strong proficiency in one or more system-level languages – Javascript / C# / Java etc Full-stack
experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts).
Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.
Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution.
Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models. Hands-on
experience with cloud ecosystems: Azure, AWS, or GCP.
Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent. Hands-on
experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows.
Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns.
Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code.
Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels. Nice to Have -
Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling -
Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability - Data and retrieval systems -
Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models) - Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows - Engineering for trustworthy AI -
Experience blending deterministic and probabilistic systems (rules engines + AI) -
Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows - Platform and product development
Experience in startups, applied research, or 0→1 product environments
Why Join Us - Work on cutting-edge AI technology that's shaping the future of enterprise automation - Be part of a team building Times top 100 Invention of the Year (2 years running) - Collaborate with talented engineers who value rapid iteration and customer impact - Contribute to UiPath's Act 2 strategy - our most important product initiative Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please.
Experience
13+ years of software engineering experience, with 5+ years focused on distributed systems and backend architecture.
Additional details
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?
This is a high-visibility, high-impact role on UiPath's biggest strategic bet.
- Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead.
Responsible shipping means measuring honestly, not chasing vanity numbers. - Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions - Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on.
experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs - Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals - Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback. -
experience will be a big plus. What You'll Bring to the Team
Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.