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.
Requirements
- You have 2+ years of experience building real world applications and integrating LLMs into production systems
- You're exceptional at Python
- Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
- Ability to debug, experiment, and iterate fast.
- Have experience with prompt engineering, fine-tuning, or building AI agents
- Keep up with the latest developments in ML/AI
Responsibilities
- 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
- Integrate cutting-edge LLMs, optimize document processing pipelines, and build the infrastructure that makes state-of-the-art document understanding accessible at scale.
Other
- 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.
- A quantitative approach to building products.
- You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.
- 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
