Staff AI Engineer

Laurel

1d • Hybrid

About The Position

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.

Requirements

• 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 embeddings
• Curiosity that drives you to ask the right questions; pragmatism drives you to deliver value week over week
• Strong proficiency in Python
• Comfort with at least one deep‑learning framework such as PyTorch or TensorFlow
• Hands-on experience building text-processing pipelines
• Solid grasp of LLM evaluation metrics (BLEU, ROUGE, BERTScore, human preference scoring)
• Strong SQL skills
• Experience with cloud platforms (AWS and Azure)
• Demonstrated MLOps experience
• Orchestration and pipeline (Airflow)
• Experiment tracking (MLFlow)
• Containerization with Docker
• Strong analytical and problem-solving skills, with the ability to think critically and creatively
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment and manage multiple priorities
• A customer mindset with proven ability to engage with customers and understand their needs
• Have a proven history of early action and initiative, rather than waiting for direction, as this is an important part of working at Laurel

Nice To Haves

• Developed a production-ready agent
• Deployed a production MCP server
• Comfort with infrastructure as code (terraform)
• Developed or fine-tuned a custom embedding

Responsibilities

• 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

Benefits

• To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian
• A smart, fun, collaborative, and inclusive team
• Great employee benefits, including equity and 401K
• Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
• An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level