Senior Software Engineer - HLS

About the role

Join the HLS team and help 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.

What You'll Do

• Build and Scale: Design, develop, and maintain backend services for HLS products using AI Coding Assistant for building distributed systems
• 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 concept to working demo in days, 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.
• 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
• On-Call Rotation: Participate in on-call rotation (approximately one week every 2-3 months) to ensure system reliability

Required Qualifications

• Builder mindset — you enjoy turning ideas into working systems and taking ownership from concept through production
• Strong backend engineering in Python and/or C# — most HLS product development is Python (agents, APIs, ETL), while core platform work includes C#
• Willingness to work across both is important
• Experience building production AI systems — LLMs, tool-calling, structured outputs, orchestration, and evaluation of model behavior in real-world workflows
• Experience with agentic or workflow-based systems — multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), durable workflows, retries, and long-running execution patterns
• Comfortable working with non-deterministic systems — debugging failures, evaluating quality empirically, and distinguishing between model, prompt, and data issues
• Distributed systems experience — designing resilient systems with idempotency, replayability, 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
• Healthcare domain experience

Nice to Have

• 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
• PHI/HIPAA-aware engineering and multi-tenant system design
• 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

About The Team

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.

Why Join Us

• Work on cutting-edge AI technology that's shaping the future of enterprise automation
• Be part of a team building UiPath's 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