Applied AI Engineer

Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world works with unstructured data.

As an AI Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure and applied AI product features. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month.

We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI.

• We've grown revenue 15x last year to several million ARR, with our growth continuing to accelerate

• We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more

• The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS

• We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact

• We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join.

• You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership

• We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces

• You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly

We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap.

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex problems you’ll be working on:

• Building a QA Agent to flag low confidence results

• Deploy an optimizer agent in a loop that improves document performance in the background

• Creating multimodal models for document layout awareness

• Novel chunking strategies for handling long documents

• Building data pipelines and evaluating model performance

• Building a self-correcting system that automatically gets better over time

• Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to

• Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues

• Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.

• Work directly with the CEO, CTO, and other founding members and help build out our team.