---
title: 'Software Engineer, Platform at Reducto'
canonical: 'https://feeny.ai/job/software-engineer-platform-reducto-san-francisco-9fg1pt34tt20'
type: 'job'
last_seen: '2026-10-12'
---

# Software Engineer, Platform at Reducto

- **Company:** Reducto
- **Location:** San Francisco, CA
- **Compensation:** $200k–$325k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-12
- **Apply:** https://jobs.ashbyhq.com/reducto/1a0a37f5-acdc-4ad5-8d17-aaf29456c3df

## Job description

## About Reducto

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.

The Opportunity As a Software Engineer on Platform, you’ll own the infrastructure behind Reducto’s core API: the systems that make document understanding fast, reliable, and cost-efficient at scale. You’ll work across Python services, queues, model-serving paths, Kubernetes/container infrastructure, observability, and developer tooling to make Reducto’s platform increasingly bulletproof as usage grows. This is a high-leverage infra role. The ideal person has built and operated real production systems, cares deeply about latency/reliability/cost, is comfortable leading technical direction for a small team, and uses modern LLM coding tools fluently to move faster.

We would love to meet you if you:

- Have 5+ years building, hardening, and scaling production backend/platform systems.
- Have hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work.
- Are strong in Python, or deeply expert in another backend language and excited to work primarily in Python.
- Have used Terraform/IaC, containerized deployments, and production debugging workflows.
- Are highly fluent with LLM coding tools such as Claude Code, Codex, Cursor, or similar, and use them as part of your daily engineering loop.
- Have led projects or small teams, raised engineering quality, and can communicate clearly with founders, engineers, and occasionally customers.

The core work will include:

- Scaling Reducto’s core API and document processing pipelines for higher throughput and lower latency.
- Reducing infrastructure and model-serving costs without sacrificing quality or reliability.
- Improving Kubernetes/containerized deployment workflows, observability, alerting, and operational safety.
- Building internal tooling, evals, and debugging workflows that help engineers find and fix failures quickly.
- Partnering with ML/backend engineers to optimize LLM/model-serving paths in production.
- Acting as a technical lead for platform/backend projects as the team grows.

Bonus points if you:

- Have built infrastructure at an early-stage or high-growth startup.
- Have worked on AI infrastructure, model-serving, agent platforms, developer tools, or high-throughput APIs.
- Have meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization.
- Are comfortable talking with customers or translating customer pain into platform improvements.
- Keep up with modern AI/LLM tooling and actively use it to improve your engineering workflow.

This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

## Benefits at Reducto

At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:

- 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.
- Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
- Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

## About Reducto

## Company Overview
- **One-liner**: Reducto is the agentic document platform for leading AI teams, providing a comprehensive toolkit for document parsing, extraction, and automation at enterprise scale.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Adit Abraham (CEO) and Raunak Chowdhuri (CTO)

## Core Business
- **Primary industry**: Document AI / Enterprise Software / Artificial Intelligence
- **Target customers**: AI teams and enterprises across legal, finance, healthcare, and insurance sectors — ranging from startups to Fortune 10 companies.
- **Mission or purpose**: To unlock messy, real-world document data so that leading AI teams can build smarter systems, faster decisions, and better products.

## Products & Services
- **Parse**: Reads documents like a human would, capturing layout, structure, and meaning with high accuracy. Uses Agentic OCR that reviews and corrects outputs in real-time for near-perfect results.
- **Extract**: Extracts structured data directly from documents with schema-level precision — invoice fields, onboarding forms, financial disclosures, and more.
- **Edit**: Dynamically fills in detected blanks, tables, and checkboxes with supplied data across scanned PDFs, digital forms, and complex multi-page documents — no bounding boxes or templates required.
- **Split**: Automatically separates multi-document files or long forms into individually useful units using intelligent, layout-aware heuristics.
- **Deep Extract**: The most accurate structured document extraction agent yet, leveraging vision-language models for context-aware extraction.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $108.4M across four rounds
  - Pre-Seed (Apr 2024): $500K led by Y Combinator
  - Seed (Oct 2024): $8.4M led by First Round Capital
  - Series A (Apr 2025): $24.5M led by Benchmark
  - Series B (Nov 2025): $75M led by Andreessen Horowitz
- **Notable Investors**: Benchmark, First Round Capital, Andreessen Horowitz, Box Group, Y Combinator, and founders of Dropbox and Airtable.
- **Growth Signals**: Headcount grew 313.3% YoY to 43 employees; trusted by leading AI teams including Harvey, Scale AI, and Vanta; serves Fortune 10 enterprises; operates in 6 countries.

## Competitive Advantages
- **Agentic OCR**: Combines custom in-house vision models with leading frontier VLMs that review and correct outputs in real-time, achieving near-perfect accuracy even on edge cases.
- **Enterprise-grade security**: SOC 2 and HIPAA compliant, with flexible deployment options from cloud to fully air-gapped environments and zero data retention.
- **Battle-tested infrastructure**: 99.9%+ uptime, built for enterprise workloads at scale.
- **Deep technical moat**: Founders are MIT CS graduates with published computer vision research and experience at Google and MIT Media Lab.

## Strategic Focus
- Scaling the platform to serve more enterprise customers across legal, finance, healthcare, and insurance verticals.
- Continuing to advance proprietary vision-language models for document understanding.
- Expanding the team, particularly in engineering, machine learning, and go-to-market roles.

## Why Work Here
- **Culture**: "We stay small on purpose, so ideas move fast, ownership runs deep, and your work directly shapes the future of the company." The team is described as builders — curious, humble, and relentless about solving real problems.
- **Team**: 43 employees with strong talent from MIT, Stanford, and companies like Scale AI, Vanta, Meta, and Hudson River Trading. Technical roles make up 27% of the team.
- **Location**: San Francisco office with daily lunch, snacks, and commute stipends.
- **Benefits**: High-quality medical, dental, and vision coverage; 401k with 4% company match; health and wellness stipends (gym, fitness classes); parental leave; flexible PTO.
- **Open roles**: 35 active job postings across engineering, ML, product, customer success, and sales — all full-time in San Francisco.

## Sources
1. [reducto.ai](https://reducto.ai/)
2. [reducto.ai/careers](https://reducto.ai/careers)
3. [ycombinator.com/companies/reducto](https://www.ycombinator.com/companies/reducto)
4. [linkedin.com/company/reducto-ai](https://www.linkedin.com/company/reducto-ai)
5. [cbinsights.com/company/reducto-ai](https://www.cbinsights.com/company/reducto-ai)
6. [fortune.com](https://fortune.com/2025/04/01/reducto-ai-document-parsing-startup-raises-24-5-million-series-a-led-by-benchmark/)

## Other roles at Reducto

- [Founding Data Engineer](https://feeny.ai/job/founding-data-engineer-reducto-san-francisco-efdk5p30bzf0) — San Francisco, CA
- [Strategic Projects Lead](https://feeny.ai/job/strategic-projects-lead-reducto-san-francisco-qhznq6j43brj) — San Francisco, CA
- [Manager, Growth Sales](https://feeny.ai/job/manager-growth-sales-reducto-san-francisco-d3jwctamps2r) — San Francisco, CA
- [Growth Marketing Manager](https://feeny.ai/job/growth-marketing-manager-reducto-san-francisco-63n1bhbxnxcm) — San Francisco, CA
- [Head of Product Engineering](https://feeny.ai/job/head-of-product-engineering-reducto-san-francisco-meh80hqf5rde) — San Francisco, CA
- [Deal Desk Lead](https://feeny.ai/job/deal-desk-lead-reducto-san-francisco-jr8wdvn743vy) — San Francisco, CA
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-reducto-new-york-y2kpmhb53twv) — New York, NY
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