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Salary: USD 186,065 - 218,900 / annual
Coinbase is 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 integrated into the Coinbase app that engages in natural conversation about users' portfolios, provides personalized financial advice, and executes trades on their behalf. This role is primarily backend-focused on a full-stack team, owning the services that make agentic trading feel fast, clear, and trustworthy for millions of customers.
You will own backend services powering Coinbase Advisor and Strategies from technical design through launch and ongoing operation. Key responsibilities include building integrations with Coinbase's trading APIs to translate agent recommendations and user-configured strategies into correct, auditable execution; developing the agentic harness including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions; shaping agent behavior through prompt engineering, evals, and conversation analysis in partnership with the registered investment adviser; improving service reliability, latency, observability, and execution safety with retry behavior and safeguards against duplicate actions; and partnering with frontend engineering, product, design, trading infrastructure, and legal/compliance teams to ship customer-facing capabilities within regulatory guardrails.
Coinbase is a remote-first but not remote-only company. Expect quarterly in-person working sessions called "surges." The company emphasizes high standards, intensity, and pushing past perceived limits in pursuit of its mission to increase economic freedom.
**Requirements:**
- 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
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
