Senior Software Engineer - HLS

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 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.

• →

• 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

• Experience with healthcare systems or standards such as Epic, Cerner, X12 EDI (835/837), CARC/RARC denials, HL7/FHIR, ICD-10/HCPCS, prior authorization, claims, or revenue cycle workflows

• 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

• 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

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.