UiPath is looking to solve the challenges of developing and running AI agents in production that reliably produce correct results, addressing issues like hallucination, consistency, and explainability in LLMs for their customers.
Requirements
- 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.
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 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.
- 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.
Other
- 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.
- 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.
- Proven technical leadership, mentoring engineers, driving technical strategy, and fostering best practices (CI/CD, automated testing, monitoring, alerting, secure coding).
