Senior Software Engineer, Platform
About Reducto
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 senior engineers for our Platform team.
The Opportunity
As a Senior Software Engineer on our Platform team, 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 platform and infrastructure that makes state-of-the-art document understanding accessible at scale. You'll work closely with our ML engineers to serve in-house models at the frontier of document understanding.
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. We prefer generalists who are immensely curious to dive deep.
Experience: You have 5+ years of experience building, hardening and scaling real world applications with 2+ years of experience integrating LLMs into production systems.
Language: You're exceptional with Python or have a deep understanding of another language of choice.
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. You have a high bar for quality that you hold yourself and your team to.
The core work will include:
Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks
Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency
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
Driving backend latency and costs down without sacrificing quality
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
Bonus points if you:
Have prior experience founding a company or building products at early stages
Have experience with prompt engineering, fine-tuning, or building AI agents
Have experience delivering AI-powered products at internet scale
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 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
Benefits at Reducto
At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:
Unlimited PTO: We believe great work requires recharging.
Lunch: Receive a free lunch to eat with your teammates daily at the office
Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision.
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Parental Leave: Work with us to build a leave schedule that works for you and your family
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.