Laurel

Applied AI Engineer

Work authorization required$254k-$328kDetected 7 hours ago

TypeScriptPythonNode.jsMongoDBMachine LearningLLMsRAGAccountingLogisticsCommunicationCollaborationProblem Solving

About the role

We are looking for a highly experienced Applied AI Engineer to take Laurel's core AI from promising to dependable.
Laurel already turns raw work activity into the concepts professionals actually think in - matters, tasks, narratives, work codes - in production today.
Your charter is to make those features something a firm can trust: suggestions people accept, coverage across the whole working day, and consistency at the firm level.

Move features through our rollout tiers (prototype → design partner → beta → GA), earning each promotion with an eval baseline and a capacity plan
Build and defend evals: golden datasets, a north-star metric per feature, and online monitoring - so we can see and prove how a feature behaves, not guess
Lead the "meaning" layer of our semantic stack: retrieval semantics, embedding quality (proven first on initiative-candidate retrieval), and the label flywheel that feeds prompt optimization and golden sets.
You co-design our vector and knowledge-graph stores with the AI Platform team - you're their most demanding customer
Work closely with cross-functional teams - product managers, designers, and other engineers - to gather requirements, define measures of success, and deliver high-quality solutions
As the leading AI Time platform for professional services firms, we're transforming how organizations capture, analyze, and optimize their most valuable resource: time.
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.

Your input and opinion will be highly valuable, and it is expected that you have many thoughts on how things should be done and why
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
7+ years of professional software engineering experience, including a track record of shipping ML/LLM-powered features to production and owning their quality
You think in problems, not solutions - you can take a half-formed prototype and find the real customer problem behind it

You use AI coding tools fluently in your daily work (Claude Code, Cursor, Copilot, agentic coding) and have a point of view on where they accelerate real engineering and where they don't
Take ownership over our product and the parts of it that you're responsible for.
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 team-oriented environment

Each pod is assigned an area of focus related to customer needs and our product offering, and typically has 4-7 members.
Your work is not silo'd to the pod, however.
Good communication skills are essential.

Great employee benefits, including equity and 401K
Own AI features end-to-end, from problem statement to GA - initiative classification, narratives, work codes, daily themes, compliance, and vision extraction (Prism)

As an Applied AI Engineer at Laurel, you'll stand at the forefront of the mission to return time to our customers.

This listing is sourced directly from Laurel's careers page and normalized into a canonical job model.