Backend/AI Engineer
About The Position
As a Backend/AI Engineer at Reducto, you will work on the core API that powers document parsing for hundreds of companies. The role focuses on integrating cutting-edge LLMs, optimizing document-processing pipelines, and building infrastructure that makes state-of-the-art document understanding accessible at scale. It is an in-person role at Reducto’s San Francisco office in an early-stage company where working hard and moving quickly are expected. The work includes improving structured extraction, form filling, and document understanding; refining API design and preprocessing algorithms in response to customer feedback; and building pipelines that process documents ranging from PDFs to spreadsheets. You will experiment with techniques and output structures to improve accuracy and reduce latency, build internal tools and evaluations to analyze failure cases, and work directly with the founders and customers to shape product direction and engineering strategy. Reducto’s platform combines vision models, LLMs, and heuristics to parse document layouts and support accurate extraction of text and tables, graph-to-table conversion, image summarization, form-field extraction, retrieval pipelines, and layout-aware chunking.
Requirements
- At least 2 years of experience building real-world applications and integrating LLMs into production systems.
- Exceptional Python skills.
- A high bar for quality, with persistence in delivering work to a high standard.
- Ability to ship quickly, take initiative, and actively address problems.
- A quantitative approach to product development.
- Ability to work hands-on across the full development lifecycle, from ideation to shipping to users.
- Willingness to work in person at the San Francisco office and to work hard and move quickly in an early-stage company.
Nice To Haves
- Prior experience founding a company or building products at early stages.
- Experience with prompt engineering, fine-tuning, or building AI agents.
- Ambition and drive, with a strong commitment to doing great work with great people.
- Keeping up with the latest developments in ML and AI.
- Ability to build tools as needed, such as a quick Streamlit app for testing hypotheses or creating a dataset.
Responsibilities
- Integrate and optimize LLM calls for structured extraction, form filling, and document-understanding tasks.
- Improve API design and preprocessing algorithms, including chunking and structured extraction, based on customer feedback.
- Build and improve document-processing pipelines that handle PDFs, spreadsheets, and other documents at scale.
- Experiment with techniques and output structures to improve LLM accuracy and reduce latency.
- Build internal tooling and evaluations to understand and analyze failure cases.
- Work directly with the founders and customers to shape product direction and engineering strategy.
- Use quantitative methods to debug, experiment, and iterate across the development lifecycle, from ideation through shipping to users.
Benefits
- Unlimited PTO.
- Free daily lunch at the office.
- Reimbursed transportation costs upon submission of receipts.
- Generous health insurance covering medical, dental, and vision.
- Up to $150 per month reimbursement for health and wellness spending, such as gym memberships or fitness classes.
- Parental leave with a schedule arranged to suit the employee and family.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
