Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7 B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include Mo MA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and Spring Coast Partners. Learn more at

As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a general team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day.

The Role

We work on several systems: our ACME operations management suite, embeddable scheduling and booking widgets, B2 B and B2 C sales and support tooling, and custom solutions for enterprise operators. The work is technically varied, and the stakes are real: operators depend on this software to run their businesses.

We’re hiring a Senior Full Stack Engineer who works AI-first. That means you treat AI as a core part of how you build, break down ambiguous problems, delegate to agents, review their work critically, and course-correct when things go sideways. You'll design and operate complex agent orchestration systems, develop patterns for human-agent collaboration, and ship real product features primarily through agent-assisted development.

Over the past few months, we've seen a step-function improvement in the reliability and capabilities of long-running AI agents.



We're adapting our engineering practice to match, and we want engineers who are already building this way and are excited to push it further.

What you’ll do

- Architect and break down ambiguous product problems into concrete, well-scoped tasks for agents to execute and ship full-stack features, owning work from design through production release.

- Design and operate complex agent orchestration systems that ship real product features.

- Design APIs and data models that are clean, consistent, and built to last, not just fast to write.

- Contribute to our AI-first engineering culture, share patterns, document what works, and help the team level up on how we build with AI.

- Use AI tools fluently - Claude Code, Augment, or equivalent- to compress implementation time, then critically review everything that comes out of them.

- Collaborate closely with Product and Design to identify gaps in specs, surface edge cases early, and push back when something isn't ready to ship.

- Set the quality bar: well-structured, maintainable code; conduct thorough code reviews; maintain adequate test coverage; and catch bugs introduced by AI before they reach production.

What We’re Looking For Required





- 5+ years of professional development using Java and/or Java Script with a meaningful track record of shipping production systems.

- Strong backend fundamentals: API design, data modeling, SQL, service reliability, and debugging production issues.

- Demonstrated daily use of AI coding tools (Claude Code, Codex, Cursor or equivalent) in a production engineering workflow.

- Ability to critically evaluate AI-generated code: catch logic errors, identify security issues, assess maintainability, and own what gets merged regardless of how it was written.

- Strong system design instincts: you think about tradeoffs, edge cases, and what happens when things scale or fail.

- Clear communicator: you can articulate why you made a technical choice, flag when a spec has holes, and disagree constructively.

- Interest in Elixir or functional programming languages as we expand our stack

Nice to haves

- Experience building B2 B Saa S products, ideally with complex multi-tenant data models or transactional workflows.

- Experience on small, high-output teams where you've had to make architectural calls without a committee.

- Frontend experience, particularly with Angular or modern JS frameworks, enough to own a feature end-to-end.

- Background in the travel, hospitality, or experiences industry.

What We Value

A few things that define how we build:

- Judgment over speed. AI compresses implementation time. What differentiates engineers now isn't typing speed or memorized syntax; it's the ability to make the right calls on what to build, how to build it, and when it's not ready to ship.

- Ownership. You built it? You own it. That includes AI-generated code. You know whe

📌 Senior Full Stack Engineer (México)
🏢 PEEK
📍 México