C
Coinbase
Senior Software Engineer (Backend/Fullstack, Coinbase Advisor, Agentic Trading)
Skills
AICompliance
4 days ago
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Important information
Contract type:
Permanent
Salary:
$186,065 – $218,900 / year
Location:
United States
Work mode:
Onsite
Published on:
15 October 2026
What they need
- 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
- 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- 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
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation
- Proficiency in Go or demonstrated ability to learn it quickly
- Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment
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