Senior Software Engineer, Platform

ABOUT REDUCTO Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. 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 https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing. 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 https://www.reducto.ai/ 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 powerf