The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy. This means they can build more reliable products while saving engineering time.
Hundreds of companies have signed up to use Reducto since our launch, and we’re now processing tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises. We’re hiring founding software engineers to help us continue to serve our customers as we build the ingestion layer that connects human data with LLMs.
As a member of our founding team you’ll work on our core API and on prem deployments. That means you’ll have a hand in everything that our customers need.
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 to 5 years of experience building real world applications
Language: You’re exceptional at Python or similar
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.
Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback.
Experimenting with new techniques and output structures to improve LLM accuracy
Build 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
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.
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 important fields from complex forms with simple, natural language instructions
Build powerful retrieval pipelines using Reducto’s document metadata
Intelligently chunk information using the document’s layout data
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
As a Software Engineer at Reducto, located in the vibrant tech hub of San Francisco, you will play a pivotal role in transforming how enterprises handle their complex document data. At Reducto, we understand that a significant amount of enterprise data is stored in unstructured formats, such as PDFs and spreadsheets, which can be incredibly challenging to manage. With our cutting-edge solutions, we empower AI teams to convert these complex documents into LLM-ready inputs, enhancing accuracy and efficiency. As a founding software engineer, you will collaborate closely with our dynamic team to design our core API and support on-prem deployments that directly impact our customers. We are looking for someone who has a passion for quality and innovation, possessing 2 to 5 years of experience in developing real-world applications predominantly in Python or similar languages. You'll have the autonomy to build your own tools and will embrace a hands-on approach throughout the development lifecycle. Our ideal candidate is driven, enjoys tackling challenges head-on, and is eager to experiment with new techniques to enhance LLM accuracy. If you're excited to contribute to a growing company that processes millions of pages each month and are committed to delivering exceptional results, we’d love to meet you!
Subscribe to Rise newsletter