Staff Software Engineer, AI Developer Productivity

Coinbase

. Own the architecture and delivery of agentic AI workflows for continuous code improvement, including automated refactoring, test generation, and proactive bug detection for Institutional systems .

Posted 11/9/2026full-timeRemote • United StatesLead💰 $218,025 - $256,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and delivering AI workflows for code improvement, with a strong focus on integrating LLM-powered tools into software development processes. Proven ability to ensure compliance with regulatory standards while enhancing developer productivity and code quality.

Highest-signal resume keywords

AI/LLM-Powered Developer ToolsJava, Python, GoAI Agent FrameworksFinancial Systems FamiliarityCross-Functional Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringAutomated RefactoringTest GenerationProactive Bug DetectionProduction-Grade Systems DesignCode Automation SystemsHuman-AI Collaborative DevelopmentVelocity MeasurementCode Quality ImprovementDeveloper Satisfaction Measurement

Soft Skills

Cross-Functional PartnershipCommunicationCollaboration

Tools & Technologies

LangChainLangGraphAI AgentsDeveloper Productivity ToolingLLM Integration

Industry Keywords

High-Reliability EngineeringRegulated EnvironmentsInstitutional SystemsAI-Assisted Development Practices

Tech Stack

Tools & technologies

JavaPythonGo

About the role

Key responsibilities & impact

Own the architecture and delivery of agentic AI workflows for continuous code improvement, including automated refactoring, test generation, and proactive bug detection for Institutional systems
Build developer productivity tooling integrating LLM-powered agents into the Institutional engineering workflow from code review through deployment
Partner with Platform AI and DevX teams on shared infrastructure and Institutional reliability, security, and regulatory requirements
Drive adoption of AI-assisted development practices across Institutional engineering
Measure impact on velocity, code quality, and developer satisfaction
Shape technical standards and best practices for human-AI collaborative development
Ensure safe and governed use of AI agents in high-stakes financial systems

Requirements

What you’ll need

8+ years of software engineering experience, including at least 2 years building AI/LLM-powered developer tools, agentic workflows, or code automation systems
Proven track record designing and shipping production-grade systems integrating LLMs or AI agents into software development lifecycles
Deep fluency in Java, Python, Go, or similar backend languages
Hands-on experience building and orchestrating AI agent frameworks such as LangChain, LangGraph, or custom agent architectures
Ability to partner cross-functionally with platform, infrastructure, and product teams to deliver tooling adopted by hundreds of engineers
Familiarity with financial systems, high-reliability engineering, or regulated environments
Ability to use generative AI responsibly with human oversight
Candidates may submit a maximum of 3 applications within a 6-month period
US work location requirement

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Equal opportunity employment protections