Principal Engineer -Intelligent Document & Context Grounding

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?

At UiPath, we're building the next generation of enterprise AI—agents that don't just generate responses, but understand business context, reason over enterprise knowledge, and deliver trustworthy outcomes at scale.

As a Principal Software Engineer, you'll help define and build the Intelligent Document Processing and Context Grounding platforms. Your work will enable AI agents to ingest, understand, retrieve, and reason over large volumes of enterprise documents while maintaining accuracy, security, governance, and performance.

This is a hands-on engineering leadership role for someone who has repeatedly shipped production AI systems and enjoys solving some of the hardest infrastructure challenges in enterprise software.

You'll influence technical direction across multiple teams while remaining deeply involved in architecture, implementation, mentoring, and product delivery.

Design and deliver the core services that power enterprise document understanding, retrieval, knowledge grounding, and Retrieval-Augmented Generation (RAG) across the UiPath platform.

You'll own systems responsible for:

• document ingestion

• parsing and extraction

• chunking and embedding

• indexing

• retrieval

• knowledge management

• evaluation

• answer grounding

Drive improvements in:

• retrieval quality

• answer quality

• groundedness

• attribution

• latency

• scalability

• cost efficiency

You'll evaluate emerging techniques, challenge assumptions, and introduce better architectural approaches as AI capabilities continue to evolve.

Architect highly available, multi-tenant cloud services that process enormous volumes of enterprise content while maintaining reliability, security, and performance.

You'll work across:

• distributed services

• event-driven architectures

• search platforms

• vector databases

• APIs

• orchestration

• cloud-native infrastructure

Principal Engineers at UiPath don't simply review designs—they actively shape them.

You'll:

• influence architectural decisions across organizations

• mentor senior engineers

• participate in critical design reviews

• establish engineering standards

• help teams make thoughtful technical tradeoffs

• raise the quality of engineering across the organization

Work closely with Product Managers, Applied Scientists, Designers, and Engineering Leaders to turn ambiguous AI opportunities into production capabilities customers rely on every day.

We're looking for builders.

Engineers who enjoy taking complex problems, designing elegant systems, and shipping software that customers depend upon.

Successful candidates will typically have:

• 10+ years building large-scale software systems

• Significant experience shipping production AI products

• Strong backend engineering experience in Python and/or C#

• Deep understanding of distributed systems and cloud-native architectures

• Experience building scalable APIs, microservices, and event-driven systems

• Strong understanding of modern retrieval systems including RAG, embeddings, vector search, evaluation, and LLM-powered applications

• Experience designing reliable, multi-tenant enterprise platforms

• Excellent communication skills and the ability to explain complex technical concepts clearly

• A track record of mentoring engineers and influencing technical direction beyond their immediate team

Our technology stack continues to evolve, but experience in areas such as the following is valuable:

• Python

• C#

• Azure (preferred), AWS, or GCP

• Docker

• Kubernetes

• Distributed systems

• Event-driven architectures

• Search platforms

• Vector databases

• LLMs

• Retrieval-Augmented Generation (RAG)

• Embeddings

• OCR

• Intelligent Document Processing

• Knowledge Graphs

• Evaluation frameworks

The strongest engineers on this team don't simply know AI—they know how to build AI products.

They enjoy:

• solving ambiguous technical problems

• making thoughtful engineering tradeoffs

• shipping production software

• collaborating across disciplines

• mentoring other engineers

• balancing long-term architecture with short-term execution

Most importantly, they remain hands-on.

This is a role for engineers who still love building.