Backend/AI Engineer
San Francisco, CAFull-timePosted 7mo ago
About the role
Backend/AI Engineer focused on core API for document parsing, integrating cutting-edge LLMs, optimizing processing pipelines, and building scalable infrastructure for state-of-the-art document understanding at Reducto.
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
Qualifications
- 2+ years of experience building real world applications and integrating LLMs into production systems
- Exceptional Python
- Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset
- A quantitative approach to building products. Ability to debug, experiment, and iterate fast. Comfortable with full development lifecycle, from ideation to shipping to users
Skills
Required:PythonLLM integrationAPI design
Benefits
- Unlimited PTO: We believe great work requires recharging
- Lunch: Free lunch daily at the office
- Reimbursed Transportation
- Insurance: Generous health insurance covering medical, dental, and vision
- Health and Wellness Budget: up to $150/mo reimbursement for health and wellness spending
- Parental Leave: Leave schedule that works for you and your family
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Reducto
The most accurate API to parse documents
Reducto offers robust and reliable document ingestion for any workflow. Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.
documentsartificial-intelligencedata-engineeringenterprise-softwaresearch
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