We're not looking for a typical software engineer.
We're looking for a super soldier.
Vertice Labs builds mission-critical AI products for fast-moving startups and mid-market companies. We're a small, elite team that solves real-world problems with advanced AI and full-stack precision — and we move fast.
We're hiring a Staff AI-Native Engineer to lead builds, architect solutions, and deliver production-grade applications at speed — with the support of AI copilots, multi-agent workflows, and infrastructure automation.
This is not a role for someone just learning to prompt ChatGPT. This is for someone who hasfully embraced AI— using tools like ChatGPT, Claude, Gemini, and othersheavily throughout the day. You're constantly experimenting with the rapid advancements in AI, riding the wave of new releases, and folding them into how you build software.
About You
You're a full-stack 10xer who can go from system architecture to UI polish without breaking stride.
You've built and shipped real products powered by LLMs, RAG pipelines, or autonomous agents.
You run multiple coding agents in parallel (Cursor, Claude, Codex) — and you know how to manage them.
You know when to prompt, when to code, and when to simplify the entire system.
You're fluent in infrastructure — AWS, Azure, Serverless, Terraform — not just the application layer.
You've been the technical backbone of fast-moving product teams — and you love the pressure.
You Should Be Able To:
Architect AI-native systems that blend traditional code and agent workflows
Build out backend APIs, frontends (React/Next), and cloud-native infrastructure
Lead product delivery from kickoff to deployment
Work with embeddings, vector stores, and hybrid retrieval techniques
Build or orchestrate agents to automate real engineering tasks
Collaborate directly with clients and product teams — no layers of bureaucracy
Bonus Points If:
You've led or contributed to open-source agent frameworks
You've built internal tools that others at your company used daily
You prefer shipping over debating
You can debug a RAG pipeline, a flaky UI, and an Azure permission issue — in the same hour
What We Offer:
Work with a team that sets a very high bar
Direct access to hard problems and high-caliber clients
Autonomy, clarity, and trust — no micromanagement
Flexible structure, meaningful problems, and fast feedback loops
The opportunity to push what's possible in AI-augmented engineering
This isn't for everyone.
But if you're an elite engineer who wants to work at the frontier, we want to hear from you.
Apply now.