Reducto is looking to solve the problem of ingesting real-world enterprise data with state-of-the-art accuracy, as the vast majority of enterprise data is locked in unstructured file formats like PDFs and spreadsheets.
Requirements
- 2+ years of experience building real-world applications and integrating LLMs into production systems
- Exceptional at Python
- Ability to build own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset
- Quantitative approach to building products
- Ability to debug, experiment, and iterate fast
- Comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users
- Prior experience with prompt engineering, fine-tuning, or building AI agents is a bonus
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
- Integrating cutting-edge LLMs into production systems
Other
- 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%.
- 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.
