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AI Engineer

Location: Manhattan (or remote, US time zones)
Compensation: Competitive cash and meaningful equity
Start: As soon as possible

We are hiring an AI Engineer to help build production agentic systems for regulated industries.

You will work on agents that do real work across real systems. This means building the full loop, not just prompts. State management, browser automation, retries, evals, observability, user interfaces, workflow orchestration, and the safety rails needed for teams to trust AI in production.

This is a high-ownership role. You will ship to real users, talk directly with customers, and own meaningful parts of the product from day one.

What You’ll Do

Build AI agents that operate across web apps, internal tools, and business workflows
Own meaningful surface area in our agent and automation stack
Ship production features every week
Design systems for state, retries, error recovery, evals, and observability
Work directly with customers to understand where workflows break
Make architecture decisions across models, frameworks, infrastructure, and UX
Help define what trustworthy AI automation looks like in regulated environments

What We’re Looking For

You have shipped AI products that real people use
You know the difference between a good prompt and a good system
You have worked with LLMs, agents, or automation in production
You can turn vague problems into shipped product without waiting for a perfect spec
You write code that other engineers can read, extend, and trust
You care about reliability, edge cases, and user trust

Bonus Points

Browser automation experience with Playwright, CDP, computer use, or similar tools
Experience building agents that use tools, recover from failure, and complete workflows
Background in regulated or workflow-heavy industries
Desktop, Chrome extension, or cross-platform application experience
Early-stage startup experience

Why Join Us

We are early enough that your work will shape the company. We are far enough along that there are real users, real revenue, and real product pressure.

You will not be handed tiny tickets. You will help build the architecture, product, and trust layer for AI agents that need to work in the real world.

If you want to build the systems that let AI actually do work, we would love to meet you.