What will make you successful

This role is for technical team members who want ownership over outcomes - here's what we think that requires.

You’ll likely thrive if you have

• 2+ years of experience building reliable, secure software in production, with the ability to own systems across the stack.
• Experience shipping AI-powered products or agents beyond the prototype stage.
• Experience designing practical evals and using them to understand agent behavior, compare approaches, and improve task-completion quality.
• Proficiency in Python and comfort working with React, LLM APIs, and agent frameworks.
• Strong instincts for agent design, including context construction, model selection, tool boundaries, structured outputs, failure recovery, and human handoffs.
• A track record of turning ambiguous, real-world workflows into simple, dependable systems.
• An experimental mindset: you move quickly, measure what matters, and care more about whether an agent completes the job correctly than whether the approach is clever.

It’s a plus if you have

• Experience with Pydantic AI or another production agent framework.
• Experience building voice agents, browser agents, or long-running workflow agents.
• Familiarity with Django, React, Temporal, Playwright, or AWS.
• Experience building evaluation systems, agent observability, model routing, or human-in-the-loop review tools.
• Familiarity with legal tech, healthcare workflows, document processing, or other operationally complex domains.

This role may not be for you if

• You prefer a role where the roadmap, process, and success metrics are already defined.
• You are looking for a narrow remit rather than meaningful ownership across a fast-moving team.
• You’re looking for a remote-first role. We work together in our NYC office four days a week.

What happens next

We aim to run a human, efficient process. That generally includes:

1. Intro: An initial conversation about your background, motivation, and the role.
2. Technical interview: A practical, technical session with an engineer.
3. Onsite: A visit to our NYC office to interview, meet the team, and have lunch.

Compensation: $180K - $280K