Founding Infrastructure Engineer

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.

The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.

We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).

We've raised over $100M from world‑class investors like a16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer.

The Opportunity

As the first dedicated Infrastructure Engineer at Reducto, you will influence every aspect of our infrastructure from the ground up. You will architect and scale resilient systems for AI and ML workloads, automate cloud infrastructure, and implement monitoring and incident response practices that set the standard for reliability. This role requires technical leadership, hands‑on systems engineering, and strong collaboration with our founders and product teams as we build a company around reliability, rapid iteration, and high‑impact product delivery.

The core work will include :

• Designing, building, and maintaining highly available, scalable infrastructure to support intensive AI / ML workloads and real‑time model deployments.
• Implementing robust monitoring, alerting, and observability systems to ensure system health, performance, and uptime across cloud and on‑prem environments.
• Debugging, optimizing, and automating infrastructure for fast iteration and rapid deployment cycles, focusing on both reliability and developer velocity.
• Proactively identifying, investigating, and resolving incidents to minimize downtime and maintain world‑class service levels for enterprise customers.
• Collaborating closely with engineers, ML specialists, and founders to shape product, infrastructure, and security strategies.

We would love to meet you if you :

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.

About Reducto

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.

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 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 :

Benefits at Reducto

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

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.

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