Senior Software Engineer, Frontend (Coinbase Advisor - Agentic Trading)

Senior Software Engineer, Frontend (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 frontend on a full-stack team. You'll own the interfaces that make agentic trading feel fast, clear, and trustworthy for millions of customers, and you'll follow that work into our Go services and LLM layer when the product calls for it.

What you'll do:

• Own the frontend for Coinbase Advisor end to end across React Native mobile and web, including the agentic chat interface, our Strategies experience, and every entry point that brings users into it
• Build real-time, streaming interfaces for AI-driven advice, trade recommendations, and autonomous execution, where sub-second responsiveness and visual clarity are compliance requirements rather than polish
• Shape agent behavior directly through prompt engineering, evals, and conversation analysis, because on this team the system prompt is a product surface
• Extend our Go backend services and LLM integrations (LLM Gateway, Google Gemini) when a great frontend experience depends on it
• Drive frontend architecture for the Advisor product area: streaming state, real-time market data rendering, and stateful conversational UX
• Partner with design, engineering, and our registered investment adviser to take features from concept to launch inside real regulatory guardrails

Required Skills and Experience:

• 5+ years of professional engineering experience shipping consumer-facing products at scale, with expert-level proficiency in TypeScript and React
• Demonstrated ownership of frontend architecture for a product area, including state management, API integration patterns, and performance work that measurably improved latency or reliability
• Experience building with LLMs in production: agentic systems, tool calling, streaming responses, or conversational interfaces
• Proven track record driving projects from zero to production with minimal oversight, owning both product and technical decisions
• Backend fluency in Go and familiarity with crypto, trading, or financial products, enabling you to ship across the full stack when the product requires it
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.