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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - HLS - **Company:** UiPath - **Location:** Bellevue, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Cerner, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, ASC X12 Standards, Automated Storage and Retrieval Systems, Big Data, Business Process Model and Notation, C Sharp (Programming Language), Customer Data Management, Extract Transform Load (ETL), Software Debugging, Distributed Systems, Python (Programming Language), Rapid Prototyping Process, Regression Testing, TypeScript, Workflow Management Systems, GitHub Copilot, ReactJS, Fast Healthcare Interoperability Resources, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Reliability of Systems, Backend, Kubernetes, Production Code, Health Level Seven International, Free and Open-Source Software, Front End Software Development, Automation Anywhere, Human in the Loop - **Published:** September 30, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-hls-uipath-com-8707629 ## About the Role * 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 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 ## Description 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., * 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. 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 * On-Call Rotation: Participate in on-call rotation (approximately one week every 2-3 months) to ensure system reliability ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)