We are looking for a highly capable Lead AI-First Golang Engineer to join a project where you’ll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools.
You’ll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user.
Also, we have no QA team — you OWN the quality of what you ship!
Regarding Lead responsibilities:
This is not a people-management role: no one-to-ones, no performance reviews, no coaching responsibilities.
Every engineer involved in the project already owns their work end-to-end (IC + DRI), so this role is not about “more ownership”.
A Lead is the spokesperson, coordinator, and facilitator for their pod, internally with product, design, and leadership, and externally with clients. You think product-first, contribute meaningfully in product planning sessions, and represent your pod in those rooms.
You remain a hands-on backend engineer. The spokesperson, coordination, and facilitation work sits on top of your IC contributions, not instead of them. Expect the majority of your week to still be engineering.
What you’ll actually do:
Own features end-to-end: from specs to deployment to fixing bugs
Use Claude Code to generate Golang backend code
Review AI output for quality and architectural fit
Fix bugs to learn our codebase, then rapidly build new features
Make quick decisions on what to build vs buy vs generate with AI
Talk to customers when they report issues, and ship fixes the same day
Additionally, at the Lead level:
Be the spokesperson for your pod, internally with PMs, designers, and leadership, and externally with clients and partners
Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers, and facilitate hand-offs
Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs
Join client meetings when needed to gather context, align on requirements, and report on delivery
Products you will build:
Platform: data- and AI-focused features, internal tooling, agentic systems
