Life at UiPath

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?

Senior Software Engineer – Intelligent Document Processing & Context Grounding

Build the AI-powered platform behind the next generation of enterprise automation.

At UiPath, we're building the future of enterprise AI. Our Intelligent Document Processing and Context Grounding platform enables AI agents to understand enterprise knowledge, retrieve the right information, and deliver accurate, trustworthy outcomes at scale.

We're looking for exceptional software engineers who enjoy solving difficult engineering problems and shipping production software. If you're passionate about building distributed systems, modern cloud platforms, and AI-powered applications that customers rely on every day, we'd love to talk.

This is a hands-on engineering role where you'll work alongside experienced engineers to design, build, and scale the services that power document understanding, retrieval, knowledge management, and AI agents across the UiPath platform.

What You'll Do

Build production software

Design, develop, and operate highly scalable backend services that power Intelligent Document Processing, Context Grounding, and Retrieval-Augmented Generation (RAG) capabilities across UiPath's AI platform.

You'll contribute to systems responsible for:

• Document ingestion

• Parsing and extraction

• Chunking and embeddings

• Search and retrieval

• Knowledge management

• APIs

• AI orchestration

• Evaluation pipelines

Solve challenging distributed systems problems

Design and implement cloud-native services capable of processing large volumes of enterprise content while maintaining high availability, reliability, and performance.

You'll build software that must balance:

• scalability

• latency

• security

• observability

• operational excellence

Build AI-powered products

Work with modern AI technologies including LLMs, retrieval systems, vector search, and document processing to deliver production capabilities—not research prototypes.

You'll help transform advances in AI into features that solve real customer problems.

Collaborate across disciplines

Partner closely with Product Managers, Applied Scientists, Designers, and fellow engineers to turn ideas into production software.

You'll participate in architecture discussions, code reviews, design reviews, and technical planning while helping improve engineering quality across the team.

Take ownership

Own features from design through production.

Successful engineers on this team are comfortable working through ambiguity, making thoughtful technical decisions, and delivering high-quality software that customers depend on.

What We're Looking For

We're looking for engineers who love building software.

Successful candidates will typically have:

• 6+ years of professional software engineering experience

• Strong backend engineering experience building distributed systems

• Production experience with Python and/or C#

• Experience designing scalable APIs and microservices

• Experience building cloud-native applications on Azure (preferred), AWS, or GCP

• Strong understanding of distributed systems, concurrency, networking, and software architecture

• Experience with event-driven systems, messaging, caching, and databases

• Excellent debugging and problem-solving skills

Experience in one or more of the following areas is highly desirable:

• Generative AI

• Retrieval-Augmented Generation (RAG)

• LLM-powered applications

• Semantic search

• Vector databases

• Intelligent Document Processing

• OCR

• Search infrastructure

• Knowledge management platforms

Technologies You May Work With

• Python

• C#

• Azure (preferred), AWS, or GCP

• Docker

• Kubernetes

• REST APIs

• Distributed systems

• Event-driven architectures

• Search platforms

• Vector d