[Hiring] Staff AI Fullstack Engineer @G-P

Role Description

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This is a staff-level role reporting to the Head of Product and Engineering where you own entire surfaces of the product — UI, backend, AI, infrastructure — and ship them end-to-end. You write code every day, raise the bar for the team, and treat the product like it’s yours.

What You Will Do

• Build across the entire stack — React/Next.js frontends, Go and Python services, AI/LLM pipelines, infrastructure
• Own product surfaces end-to-end — you take a problem from design through architecture through shipped, working software
• Build and ship AI agents — design agent architectures, prompt systems, tool-use patterns, evaluation frameworks
• Make infrastructure decisions — deployment, observability, sandboxing, scaling; you build what the team runs on
• Bring product and design sense — you don’t just implement specs, you push back on what’s wrong and propose what’s better
• Mentor and raise the bar — set technical standards, review code with rigor, make the engineers around you faster and sharper
• Ship fast across time zones — distributed team across US, India, Ireland, Poland; you unblock yourself and others

Qualifications

• 7+ years of engineering experience with depth across frontend, backend, and infrastructure
• Strong in Python, Go, and React/Next.js — you ship production code in all three
• AI-native — you build with LLMs, agents, and tools like Cursor daily, not experimentally
• Systems thinker — you design APIs, data models, and distributed architectures that hold up under pressure
• Product sense — you understand why something should be built, not just how
• Design sensibility — you can spot a bad UX, sketch a better one, and ship it without waiting for a designer
• Extreme ownership and speed — you default to action, own outcomes, and never block on someone else
• Technical leadership — you’ve mentored engineers, set standards, and made teams better

Preferred Qualifications

• Past founder or early-stage engineer (employee 1–15)
• Experience building AI agents or agentic systems in production
• Legal or HR domain experience — you understand the workflows you’re building for
• Integration experience — connecting to CLMs, HRIS, doc management, email systems

How we evaluate

• Live coding or system design — a real problem, not leetcode trivia
• Walk us through something you’ve architected and shipped end-to-end
• Critique our product and codebase — tell us what you’d change and why
• Show us how you use AI tools in your own workflow

Benefits

• Generous paid parental leave
• Flexible time off
• Spending accounts
• Medical insurance
• Dental insurance
• Vision insurance
• Sabbatical after 5 years
• Additional compensation options for Full-Time Regular Employees