Backend/AI Engineer
Reducto
- Pay
- $200K to $300K
- a year
- Location
- San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 3
- 1 day ago
Career path
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About the company
Reducto
Computer software · 2 to 10 employees
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 powerful retrieval pipelines using Reducto’s document metadata - Intelligently chunk information using the document’s layout data
What you'll do
- Integrate and optimize LLM calls for structured extraction, form filling, and document understanding tasks
- Improve API design and pre-processing algorithms based on customer feedback
- Build and improve document processing pipelines that handle PDFs to spreadsheets at scale
- Experiment with new techniques and output structures to improve LLM accuracy and reduce latency
- Build internal tooling and evals to better understand and analyze failure cases
- Work directly with the founders and customers to shape product direction and engineering strategy
What you need
- 2+ years of experience building real world applications and integrating LLMs into production systems
- Exceptional at Python
- A quantitative approach to building products
- Ability to debug, experiment, and iterate fast
- Comfortable with the full development lifecycle, from ideation to shipping to users
- Prior experience founding a company or building products at early stages (preferred)
- Experience with prompt engineering, fine-tuning, or building AI agents (preferred)
Key skills
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Perks
- Unlimited PTO
- free lunch
- Reimbursed Transportation
- health insurance
- Health and Wellness Budget
- Parental Leave
See full description on company page, apply now