
Job Overview
Location
Hybrid, San Francisco, Los Angeles, New York
Job Type
Full-time
Category
Backend Engineer
Date Posted
April 11, 2026
Full Job Description
đź“‹ Description
- • As a Staff AI Platform Engineer at Laurel Technologies, you will lead the development of a world-class AI platform that powers high-volume inference, agentic workflows, and LLM-heavy features for professional services firms, enabling them to capture, analyze, and optimize time data to increase profitability and improve client delivery.
- • You will own business-critical AI challenges by partnering with product, design, and engineering teams to frame customer problems as tractable projects, build end-to-end solutions with full agentic capabilities and LLM reliance, ship incrementally while measuring impact, mentor engineers on AI engineering best practices, and take true ownership of outcomes beyond just ticket completion.
- • You will join a team of top talent in AI, product development, and engineering at Laurel—a company transforming how organizations manage time through proprietary ML technology that processes over 1 billion work activities annually for clients like EY, Aprio, Crowell & Moring, and Frost Brown Todd.
- • In this role, you will deepen your expertise in scalable AI infrastructure, distributed systems, LLM operations, and responsible AI while driving innovation in agentic systems, RAG architectures, and model evaluation frameworks, all while growing as a technical leader in a high-impact, mission-driven environment.
Skills & Technologies
About Laurel Technologies, Inc.
Laurel provides enterprise software that automates business workflows and decision-making for financial institutions. Its platform uses machine learning to digitize and optimize loan processing, compliance reporting, risk management, and related back-office operations, enabling banks and credit unions to increase speed, accuracy, and transparency while reducing manual labor and operational costs. Customers integrate Laurel’s cloud-based APIs and white-label interfaces with core banking systems to modernize legacy processes without disruption.
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