Senior Software Engineer, Backend/Fullstack (Coinbase Advisor - Agentic Trading)

We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team. You'll own the services that make agentic trading feel fast, clear, and trustworthy for millions of customers.

What you'll do:

• Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation
• Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution
• Develop our agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions
• Shape agent behavior through prompt engineering, evals, and conversation analysis, partnering with our registered investment adviser on changes to financial advice
• Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions
• Partner with frontend engineering, product, design, trading infrastructure, and legal/compliance to ship customer-facing capabilities within regulatory guardrails

Required Skills and Experience:

• 5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services
• Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures
• Proficiency in Go or demonstrated ability to learn it quickly
• Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation
• Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.