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ReductoReductoSan Francisco, CA

Backend/AI Engineer

Builds and optimizes backend APIs and pipelines for document parsing using LLMs, handling PDFs/spreadsheets at scale. Requires 2+ years experience, exceptional Python, and high agency in production AI systems.

150k – 300k/yr
On-site2+ YOEML Engineering

About the role

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

Requirements

  • 2+ years of experience building real world applications and integrating LLMs into production systems
  • Exceptional at Python
  • Build your own tools as needed (e.g., Streamlit app to test hypotheses or create datasets)
  • Quantitative approach: debug, experiment, and iterate fast
  • Hands-on with full development lifecycle, from ideation to shipping

Nice-to-Haves

  • Prior experience founding a company or building products at early stages
  • Experience with prompt engineering, fine-tuning, or building AI agents
  • Keep up with latest developments in ML/AI

Benefits

  • Unlimited PTO
  • Free daily lunch at office
  • Reimbursed transportation
  • Generous health insurance (medical, dental, vision)
  • $150/mo health and wellness budget
  • Parental leave

Skills

PythonLLMsStreamlitAPI DesignDocument ProcessingPrompt EngineeringFine-TuningPdf ParsingLlm OptimizationMl/Ai

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