Senior Software Engineer, Backend; AI Platform - AI Acceleration

Overview

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. 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.

• Partner with teams across the organization to deeply understand workflows, identify pain points, and uncover high-leverage opportunities for AI automation and efficiency gains. Translate complex business challenges into actionable AI use cases.
• Apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows) that address business needs. Write high-quality, well-tested code in Python and Golang to support these solutions.
• Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions aligned with long-term organizational goals.
• Provide guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI into daily operations. Mentor team members on design principles, coding standards, and AI productivity tools adoption.
• Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions.
• Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions.
• Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines, especially for sensitive data and high-risk workflows.
• Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders.
• Continuously research and experiment with emerging AI models, tools, and industry best practices to bring cutting-edge solutions to Coinbase.

• 5+ years of experience in software engineering, with at least 6 months focused on applied AI, Generative AI, or intelligent automation.
• Strong Software Engineering
  
  Skills:
  
  Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture.
• Ability to write high-quality, well-tested code that meets customer needs.
• Strong technical skills in system design, coding, and debugging complex technical issues to enhance system reliability and scalability.
• AI & Automation
  
  Skills:
  
  Understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts).
• Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no-code/low-code automation platforms, agent frameworks Lang Chain/Lang Graph, Python).
• Highly analytical and structured problem-solver, comfortable with ambiguity and rapid iteration.
• Ability to manage multiple parallel initiatives and prioritize effectively in a fast-paced environment.
• Experience working cross-functionally with other engineering and/or…