Software Engineer II

UiPath•Bellevue, WA

About The Position

Join UiPath, where we combine automation and AI to accelerate human achievement. We are building the future of intelligent automation through agentic automation—creating agents that handle complex tasks autonomously. As a Software Engineer II, you will drive contributions to our evaluations & agents online reliability platform, with a major focus on developing a platform to develop and run agents in production that reliably produce correct results. This product is a key pillar of our comprehensive AI Agents portfolio, helping users deploy AI with confidence and enterprise reliability: not only does the agent need to execute successfully, but it also needs to produce correct results. LLMs present unique challenges like hallucination, consistency, and explainability; come join us in solving these problems for our customers!

Requirements

4+ years of professional software engineering experience with ownership of full‑stack, large‑scale web applications or platform services.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, AI, or a related technical field OR equivalent practical experience.AI http://experience.AI experience not necessarily required, if you can apply first principles to a new domain.
Hands‑on experience shipping GenAI products, with knowledge of Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), vector search, evaluations, and LLMOps best practices.
Proficiency in multiple programming languages across the stack —strong skills in Python (especially with AI/ML frameworks), TypeScript, C#, Go, Java.
Backend mastery building scalable microservices and event‑driven architectures, employing relational & NoSQL databases, caching layers, and message brokers.
Front‑end expertise with modern frameworks (React, Angular, or similar) and design‑system‑driven component libraries (e.g., Material UI), plus CSS/HTML – or a willingness to learn.
Cloud‑native engineering skills—designing, deploying, building, and operating services on Azure (preferred) or AWS/GCP, leveraging containers (Docker, Kubernetes) and serverless patterns.
Expertise in API design & asynchronous programming, delivering reliable, high‑performance web services.
Strong understanding of data structures, algorithms, and architectural design patterns for highly scalable, distributed, and reliable systems.
Proven technical leadership, mentoring engineers, driving technical strategy, and fostering best practices (CI/CD, automated testing, monitoring, alerting, secure coding).
Ability to work effectively within globally distributed teams and communicate complex technical concepts clearly to diverse audiences.

Responsibilities

Design, build, and operate end‑to‑end features across the entire stack—from cloud‑native backend services and data pipelines to polished, accessible web UIs.
Extend the Agent Builder https://www.uipath.com/product/agent-builder platform with the power of agent execution traces and insights, both at design time and runtime.
- Work alongside ML engineers to implement new techniques for ensuring reliable agents, such as dataset analysis, reinforced learning with human feedback (RLHF), online evaluations, and more.
Collaborate cross‑functionally with product managers, UX designers, researchers, and other stakeholders to define, refine, and execute the technical product roadmap.
Opportunity to work directly with customers as they adopt AI and unblock; we work directly with customers building Agents and incorporate their feedback directly into our backlog.
Contribute to the architecture, development, and operation of multi‑tenant cloud services, focusing on reliable and performant operations of massive-scale telemetry systems and their integration with AI‑driven components of the UiPath platform.
Implement robust public and internal APIs (REST, gRPC, WebSocket) and event‑driven pipelines that connect AI services with user interfaces while ensuring scalability, security, and performance.
Drive the technical strategy and evolution of system architecture, analyzing complex issues, proposing solutions, and ensuring alignment with business and technical needs.
Own the full software‑delivery lifecycle, championing best practices in CI/CD, automated testing, security, observability, and operational excellence.
Incubate new ideas—stay abreast of emerging technologies in Full‑Stack, Cloud, AI/GenAI, and drive their adoption where relevant.
Drive root‑cause analysis and implement long-term solutions for production issues, ensuring system reliability and performance.