Backend​/AI Engineer

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.

The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.

We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).

We've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are looking for a Backend/AI Engineer.

The Opportunity

As a Backend/AI Engineer, you'll work on our core API that powers document parsing for hundreds of companies. You'll integrate cutting-edge LLMs, optimize document processing pipelines, and build the infrastructure that makes state-of-the-art document understanding accessible at scale.

We would love to meet you if you:

Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.

Experience: You have 2+ years of experience building real world applications and integrating LLMs into production systems

Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.

Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands‑on with the full development lifecycle, from ideation to shipping to users.

The core work will include:

Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks

Making improvements to API design and pre‑processing algorithms (chunking, structured extraction, etc.) based on customer feedback

Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale

Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency

Building internal tooling and evals to better understand/analyze failure cases

Working directly with the founders and customers to shape the product direction and engineering strategy

Have prior experience founding a company or building products at early stages

Have experience with prompt engineering, fine‑tuning, or building AI agents

Are ambitious and driven, and care a lot about doing great work with great people

Keep up with the latest developments in ML/AI

This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

Accurately extract text and tables even with nonstandard layouts

Automatically convert graphs to tabular data and summarize images in documents

Extract…