Applied AI Engineer

Applied AI Engineer (In-Person, San Francisco)

About Us

Delve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.

We're the fastest growing compliance company on the market. Delve helps 100s of companies save 100s of hours (e.g. Lovable, 11x, WisprFlow) by eliminating compliance busywork and helping them focus on what matters - securely supporting their customers.

Our team is a tight-knit group of builders-former founders, operators, and engineers-obsessed with solving real problems for real customers. We come from Stanford, MIT, Berkeley, OpenAI, and international olympiads. Backed by Insight Partners , General Catalyst , Y Combinator , and top-tier investors, we just raised our 32M Series A and are scaling quickly!

One step at a time, we're on a mission to eliminate busywork for humanity.

Role Overview

As an Applied AI Engineer , you will play a pivotal role in bringing the latest AI research into production. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You'll collaborate closely with product engineers to design, implement, and deploy AI-driven features end-to-end. This is a high-impact role where you'll own projects from idea to production , and your contributions will directly shape our product and technical trajectory.

You will collaborate with a world-class team of engineers with research background to build innovative, scalable systems. As part of our fast-paced startup, you'll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude - you will have broad autonomy to experiment and iterate in pursuit of the best solutions.

What you will do

• Drive AI Innovation : Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges.
• End-to-End Development : Design, implement, and deploy AI pipelines and systems-from evaluation design and benchmarking through product integration-ensuring high performance, reliable production observability, and end-to-end safety and transparency.
• Collaborate & Iterate : Collaborate with backend engineers and product engineers to turn cutting-edge ideas into production-ready solutions-rapidly iterating on experiment data and user feedback, and applying a rigorous scientific approach to refine models and algorithms.
• Technical Leadership : Contribute to technical decision-making and architectural discussions for AI components. Uphold high engineering standards and share best practices in code reviews and design discussions.
• Continuous Learning : Stay up-to-date with the latest research and developments in AI. Evaluate new approaches or tools, and drive their adoption when they can advance our capabilities.

What we are looking for

Why In-Person SF Matters

Ex-Stanford, MIT, and Berkeley engineers with dozens of papers

Why Join Us

Benefits