Agent Experience Engineer

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.

As Agent Experience Engineer, you'll own how AI agents discover, integrate, and work with Reducto. Today, the best AI products are being built by agents: coding assistants, autonomous workflows, and agentic pipelines that need to parse enterprise documents at scale. Your job is to make Reducto the most natural and frictionless choice when an agent reaches for a document processing tool.

You'll report directly to the CTO and work side-by-side with him daily, shaping strategy, making technical decisions, and shipping fast. Together, you'll build the surfaces that agents and developers interact with: CLIs, MCP servers, SDKs, and integrations with the major platforms and frameworks where agents live, and instrument everything to understand how agents are actually using Reducto in the wild.

• Own Reducto's agent-facing surfaces. Build and maintain our CLI, MCP server, SDKs, and other integration points that make Reducto discoverable and usable by AI agents and the developers building with them.

• Build integrations where agents live. Get Reducto into the platforms, frameworks, and toolchains that agents and developers are actually using — from coding assistants to orchestration frameworks to cloud marketplaces. You'll identify the highest-leverage integration opportunities and ship them.

• Make our SDKs exceptional. Improve our Python and TypeScript SDKs so they're intuitive for both humans and agents — clear type signatures, predictable error handling, and documentation that reads well in an LLM's context window.

• Instrument and measure agent adoption. Define and track metrics around agent usage of Reducto — how agents find us, where they drop off, and what friction points exist. Use this data to prioritize what to build next.

• Reduce integration friction end-to-end. Obsess over the experience from first discovery to production usage. Write documentation, build example projects, and design API surfaces that minimize the steps between "I need to parse a document" and a working integration.

• Stay on the frontier of agentic tooling. Monitor how agent frameworks (MCP, tool-use protocols, agent SDKs) are evolving and ensure Reducto is a first-class citizen in every major ecosystem.
  Drive internal automation. Identify opportunities to use LLMs and agentic workflows to make Reducto's own team more efficient — from internal tooling to workflow automation.

• Hold yourself to a high bar for quality and precision.

• Enjoy solving complex problems and building from first principles.

• Have 2+ years of experience in software engineering, with strong Python and TypeScript skills.

• Have a genuine feel for what makes developer tools great — you've used enough good and bad APIs to know the difference.

• Are deeply fluent in how AI agents work — you've built with agent frameworks, MCP servers, or LLM tool-use patterns and understand what makes a tool easy for an agent to use.

• Operate well in fast-changing, high-growth environments.

• Take full ownership from strategy through execution.

• Have experience at an early-stage or high-growth startup.

• Have built or maintained developer SDKs, CLIs, or API tooling.

• Are familiar with the AI agent ecosystem — MCP, Claude Code, OpenAI Agents SDK, Sandboxes, or similar frameworks.

• Have contributed to open-source developer tools.

• Care deeply about combining technical excellence with measurable product impact.

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.