Staff AI Developer Productivity Engineer

Coinbase, Inc.; United States; Hybrid; USD 218,000 - 257,000; Full time

Job summary

Coinbase is a remote-first company with quarterly in-person surges. We are seeking a founding Staff Software Engineer for the AI Developer Productivity group within Institutional.

You will architect and roll out agentic AI workflows that boost code quality and velocity across critical trading and financial infrastructure. You will build productivity tooling, integrate AI agents into code reviews and deployments, and partner with Platform teams to tailor capabilities to Institutional needs while

Qualifications

• 8+ years of software engineering experience with AI/LLM-powered developer tools or code automation systems.
• Proven track record shipping production-grade systems integrating LLMs or AI agents into software lifecycles.
• Experience building and orchestrating AI agent frameworks and related tooling.

Responsibilities

• Own the architecture and delivery of agentic AI workflows for continuous code improvement tailored to Institutional systems.
• Build developer productivity tooling that integrates LLM-powered agents into engineering workflows from review to deployment.
• Partner with Platform's AI and DevX teams to align on shared infrastructure while customizing capabilities for Institutional's requirements.
• Drive adoption of AI-assisted development practices, measuring impact on velocity and quality.
• Shape standards for human-AI collaboration ensuring safe, governed use of AI agents in high-stakes financial systems.

Skills

Java

Python

Go

AI/LLM workflows

Agent frameworks

Cross-functional collab

Tools

LangChain

LangGraph

Custom agent architectures

Job description

Coinbase is a remote-first company with quarterly in-person surges. We are seeking a founding Staff Software Engineer for the AI Developer Productivity group within Institutional.

You will architect and roll out agentic AI workflows that boost code quality and velocity across critical trading and financial infrastructure. You will build productivity tooling, integrate AI agents into code reviews and deployments, and partner with Platform teams to tailor capabilities to Institutional needs while