layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Software Engineer - HLS at UiPath

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
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
How We Work
HLS 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.

Senior Software Engineer - HLS

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