Principal Software Engineer, AI Automation

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. At Coinbase, our mission is to increase economic freedom in the world. To achieve this, we are becoming an "AI-first" company and fundamentally reimagining how a global financial institution operates. AI is at the center of this strategy, driving our core processes while human experts serve as the "function calls" that the system consults for high-level judgment. The Role We are looking for a visionary, AI-forward Principal Software Engineer to serve as the technical North Star for our AI Automation efforts. You will build Agentic AI systems that will power our multiple org-wide initiatives and their primitives, orchestration layers, and the tools that will enable every team at Coinbase to automate their workflows. You will report to the VP, Engineering and will operate with the highest level of autonomy to define what a fully AI-driven company looks like from the ground up. What You’ll Do Architect Agentic Systems: Design and build sophisticated multi-agent architectures that move beyond simple chat to autonomous execution and complex reasoning. Solve the "Hard Problems" of AI: Define and implement reliable evaluation frameworks, eliminate hallucinations through rigorous data grounding, and build deep observability into LLM reasoning chains. Build the Core AI Platform: Develop the underlying primitives and orchestration tools that will allow the rest of the org to adopt AI, improving developer productivity and operational efficiency across the entire organization. Lead the AI-First Transition: Partner with leadership to identify high-impact automation opportunities across Product Foundations and Core functions, ensuring our AI strategy creates compounding leverage. Bridge Engineering and AI: Act as a "Software Engineer with deep AI expertise"—applying world-class backend engineering principles (scalability, reliability, performance) to the bleeding edge of Generative AI. Mentor and Elevate: Serve as a mentor to senior ICs and engineering teams, raising the bar for AI literacy and engineering excellence across the organization. What We Look For Deep AI/LLM Expertise: Extensive experience working with LLMs, RAG, and Agentic frameworks. You understand the nuances of prompt engineering, fine-tuning, and the current limitations of frontier models. Backend Engineering Mastery: You are a seasoned Software Engineer at heart. You can build the robust, scalable systems required to put AI into production at a global scale. Proven Strategic Leadership: Experience operating with organizational level impact, leading technical strategy across multiple domains. Visionary Mindset: You are 18 months ahead of the industry curve. You can see how AI ... (truncated, view full listing at source)