5 days ago
Base Salary
$200k - $250k/yr
Responsibilities
- Design and deliver core services for enterprise document understanding, retrieval, knowledge grounding, and Retrieval-Augmented Generation across the UiPath platform.
- Own document ingestion, parsing and extraction, chunking and embedding, indexing, retrieval, knowledge management, evaluation, and answer grounding systems.
- Improve retrieval quality, answer quality, groundedness, attribution, latency, scalability, and cost efficiency.
- Architect highly available, multi-tenant cloud services that process large volumes of enterprise content with reliability, security, and performance.
- Work across distributed services, event-driven architectures, search platforms, vector databases, APIs, orchestration, and cloud-native infrastructure.
- Influence architectural decisions across organizations, participate in critical design reviews, establish engineering standards, and guide technical tradeoffs.
- Mentor senior engineers and raise engineering quality across the organization.
- Partner with Product Managers, Applied Scientists, Designers, and Engineering Leaders to turn ambiguous AI opportunities into production capabilities.
- Remain hands-on with architecture, implementation, mentoring, and product delivery.
Requirements
- 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 retrieval systems, including RAG, embeddings, vector search, evaluation, and LLM-powered applications.
- Experience designing reliable, multi-tenant enterprise platforms.
- Excellent communication skills and ability to explain complex technical concepts clearly.
- Track record of mentoring engineers and influencing technical direction beyond the immediate team.
- Experience with technologies such as Python, C#, Azure, AWS, GCP, Docker, Kubernetes, search platforms, vector databases, LLMs, RAG, embeddings, OCR, Intelligent Document Processing, Knowledge Graphs, and evaluation frameworks is valuable.
Benefits
- Many roles offer flexibility across hybrid, office-based, and remote work arrangements depending on business and team needs.
- Applications are assessed on a rolling basis with no fixed deadline, and the requisition may close when a qualified candidate is selected.
- UiPath provides an inclusive workplace, equal opportunities, and reasonable accommodations for candidates on request.