Senior Software 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 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 Senior 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. This is a high-visibility, high-impact role on UiPath's biggest strategic bet.

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• 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.

• Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience.

• 7+ years of software engineering experience, with 4+ years 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.

• 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