GC AI

AI Engineer

Remote or Hybrid, Bay Area, US or Canada $170K to $250K full-time

Benefits EquityHealthcareGood times

About Company GC AI is currently an AI platform for in-house lawyers to 10x themselves. Using the latest LLMs, we are building AI agents that can use company knowledge, leverage external sources, and connect with internal tools to provide better and faster legal advice to the rest of the company. Thousands of weekly active users tell us they “cannot imagine their lives without GC AI” - which has led us to 95% retention and a NPS of 75.

This is a once-in-a-generation opportunity to build for a $1T annual market. We have jaw-dropping product-market fit - growing our customer base from 0 to 500+ legal teams in a year and 3X ARR growth in the last 4 months. Join our Series A stage rocket ship backed by top investors like Sound Ventures, Fellows Fund, Guillermo Rauch and Worklife Ventures. GC AI is a small but mighty team of lawyers, engineers, sellers and doers. Here, you’ll have infinite room to grow and rethink how legal work gets done.

Come build the future with us.

About The Role We're seeking an exceptional AI Engineer to help lead the development of our cutting-edge AI platform. This is a unique opportunity to shape how artificial intelligence transforms legal work. You'll be the technical cornerstone of our AI initiatives, working directly with our CTO (ex-Replit) and founding data engineer (ex-Lyft, Instagram and Plaid) to architect systems that push the boundaries of what's possible with LLMs in the legal domain.

Why this role matters We're at a pivotal moment in legal technology, where AI can fundamentally transform how legal work gets done. As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your work will define not just how our platform evolves, but how an entire industry adapts to and leverages AI. This is a chance to solve novel technical challenges while having a real impact on how legal professionals work.

What You'll Do

• Architect and drive our core AI/LLM infrastructure and features from conception to production
• Design and implement AI systems that handle complex legal reasoning and document analysis
• Lead the evaluation and integration of LLM capabilities and AI tools
• Establish best practices for AI development, and reliability
• Build frameworks for rapid prototyping and validation of AI features
• Guide and mentor our growing team of AI engineers
• Shape our technical strategy and roadmap alongside senior leadership

Required Experience

• 5+ years of software engineering experience, with 2+ years focused on AI systems
• Deep expertise in LLM implementation and optimization
• Strong track record of building production AI systems at scale
• Experience with modern AI frameworks and tools
• Proven ability to lead technical initiatives and mentor engineers
• Strong foundation in TypeScript and modern software architecture

Nice To Have

• Experience with RAG systems and LLM evaluation
• Familiarity with legal domain or legal text processing
• Track record of technical publications or open-source contributions
• Experience with multi-agent AI systems

The Mindset

• Problem Solver: You come alive tackling complex challenges without obvious solutions
• Ownership-Driven: You take initiative without needing direction and focus on outcomes
• Continuous Learner: Your curiosity drives you to constantly level up your engineering skills
• Startup DNA: You thrive in fast-paced environments where responsibilities evolve

What We Offer Growth & Impact

• Shape the future of a rapidly growing startup
• Direct collaboration with founding team
• Real influence on company strategy and direction
• A voice that matters - your ideas will be heard and implemented

Environment & Benefits

• Competitive salary, equity and healthcare
• Work remotely or join us a couple days a week in the Bay Area
• High-energy, joyful team environment

Career Development

• Mentorship and learning opportunities
• Clear path for growth in an expanding company
• Exposure to cutting-edge technologies and practices
• Freedom to innovate and own crucial systems

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