Staff AI Productivity Engineer

Coinbase, Inc.; Juneau (AK); Remote; USD 218,000 - 257,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Equity

Job summary

Coinbase, Inc. is seeking a founding Staff Software Engineer for AI Developer Productivity in the Institutional Product Group. You will design and roll out AI-powered workflows that transform how Institutional engineers write, review, and ship code, with emphasis on reliability, security, and regulatory compliance.

The role blends architecture, tooling, and cross-team collaboration. You will own end-to-end delivery of agentic AI workflows, integrate LLM-powered agents into the engineering

Qualifications

• 8+ years of software engineering experience with at least 2 years building AI/LLM-powered developer tools or agentic workflows.
• Proven track record designing and shipping production-grade systems that integrate AI agents into software lifecycles.
• Hands-on experience with Java, Python, Go or similar backend languages and AI tooling.

Responsibilities

• Own architecture and delivery of agentic AI workflows for continuous code improvement.
• Build developer productivity tooling integrating AI agents into the engineering workflow from review to deployment.
• Collaborate with AI and DevX teams to align infrastructure while meeting Institutional reliability and security needs.
• Drive adoption of AI-assisted development and measure impact on velocity and quality.
• Establish standards for human-AI collaboration in high-stakes financial systems.

Skills

AI/LLM tooling

Backend languages

Cross-functional collaboration

Regulatory compliance

Tools

LangChain

LangGraph

Agent architectures

Job description

Coinbase, Inc. is seeking a founding Staff Software Engineer for AI Developer Productivity in the Institutional Product Group. You will design and roll out AI-powered workflows that transform how Institutional engineers write, review, and ship code, with emphasis on reliability, security, and regulatory compliance.

The role blends architecture, tooling, and cross-team collaboration. You will own end-to-end delivery of agentic AI workflows, integrate LLM-powered agents into the engineering