Senior Full Stack Engineer
- Compensation
- MX$950K–MX$1.2M / yr
- Location
- Mexico
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 5+ years of professional development using Java and/or JavaScript 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 have
- Experience building B2B SaaS 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.
Full description
Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast 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 global 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, B2B and B2C 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.