Software Engineer 2
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?
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 Software Engineer II, 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. This is a high-visibility, high-impact role on UiPath's biggest strategic bet.
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.
Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. 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.
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. Willingness to work across both is important.
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 - 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 with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus.
What You'll Bring to the Team
- Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience.
- 3+ years of software engineering experience and focused on distributed systems and backend architecture.
- 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.
- Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.
- Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels.
Nice to Have
Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus.
Data science and evaluation
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 · Frontend familiarity (React, TypeScript) · Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions) · Kubernetes and distributed infrastructure · Experience in startups, applied research, or 0→1 product environments · Open-source contributions
How We Work
Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it - that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here.
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. 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.