Staff AI Engineer

Staff AI Engineer Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you. ABOUT THE ROLE We’re looking for a highly experienced AI Engineer who can shape how Laurel designs, builds, and ships AI solutions. You’ll work across the stack — from data pipelines to model‑powered product features — and raise the bar for everyone around you. This role is fit for those who thrive at the intersection of cutting‑edge AI development and production‑grade engineering. We are looking for someone who is motivated by turning real‑world data into incredible user experiences. Ownership comes from the ground up, we empower our teams to understand and make an impact on the business. AI will fundamentally change the nature of work and how we think about work. As an AI engineer at Laurel, you’ll have the capacity to understand and impact the experiences of our customers, standing at the forefront of the mission to return time to our customers. Laurel is at a pivot point. We've built a product that people like, and have a direction that people love, but it hasn't been done yet. WHAT YOU WILL DO: - Own business‑critical AI challenges. Partner with product, design, and engineers to uncover the real customer problems, then frame them as tractable machine‑learning tasks - Build end‑to‑end solutions, collect and curate data, prototype models, run rigorous experiments, and productionize the winners with reliable MLOps practices and your code will move effortlessly between exploratory notebooks and hardened services - Ship incrementally, learn rapidly, break ambitious ideas into testable slices, measure impact, and iterate - Elevate the team and mentor engineers on best practices in ML engineering, model evaluation, prompt design, and responsible AI - Introduce tools and techniques that improve reliability, speed of deployment, fairness, and performance - Take true ownership and empower every team member to understand the business levers behind their work and to push for outcomes, not just tickets - Have the autonomy to choose the right approach and the accountability for results - Aid in building out Laurel's AI platform to support billions of inferences TEAMMATES This role sits inside the AI engineering team, but your primary work will be supporting a “pod” with various other engineering disciplines. Each pod is assigned an area of focus related to customer needs and our product offering. Pods typically have 4-7 members. Your work is not siloed to the pod, however. AI engineers are expected to collaborate closely with other pods and broader engineering teams. YOU WILL BE A GREAT FIT IF YOU HAVE: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 5+ years of professional experience in building production machine learning solutions, with a focus on NLP, language models, and em ... (truncated, view full listing at source)