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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 has fully embraced AI — using tools like ChatGPT, Claude, Gemini, and others heavily 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.