Staff Software Engineer — AI Dev Productivity (Remote)

Coinbase, Inc.; Richmond (VA); Remote; USD 218.000 - 257.000; Vollzeit

Zusammenfassung

Coinbase, Inc. is seeking a founding Staff Software Engineer for the AI Developer Productivity team within Institutional. You will own AI-powered workflows that accelerate code quality and development speed for critical trading and custody systems.

You'll build LangChain/LLM-driven tooling, collaborate with Platform AI and DevX teams, and define standards for safe human-AI collaboration in high-reliability environments. This remote-first role expects strong engineering excellence.

Qualifikationen

• 8+ years of software engineering experience with AI/LLM-powered tools.
• Experience shipping production-grade AI agent frameworks.
• Fluent in backend languages such as Java, Python or Go.
• Ability to collaborate cross-functionally with platform, infra and product teams.
• Familiarity with regulated financial environments and high-reliability systems.

Aufgaben

• Own the architecture and delivery of agentic AI workflows for continuous code improvement.
• Build developer productivity tooling that integrates LLM-powered agents into the Institutional engineering workflow.
• Partner with Platform's AI and DevX teams to align on shared infrastructure while customizing capabilities.
• Drive adoption of AI-assisted development practices and measure impact on velocity and quality.
• Shape technical standards for human-AI collaborative development in high-stakes financial systems.

Kenntnisse

AI/LLM-powered developer tools

Code automation systems

Java, Python, Go

Cross-functional collaboration

Financial systems familiarity

Tools

LangChain

LangGraph

Custom agent architectures

CI/CD tooling

Jobbeschreibung

Coinbase, Inc. is seeking a founding Staff Software Engineer for the AI Developer Productivity team within Institutional. You will own AI-powered workflows that accelerate code quality and development speed for critical trading and custody systems.

You'll build LangChain/LLM-driven tooling, collaborate with Platform AI and DevX teams, and define standards for safe human-AI collaboration in high-reliability environments. This remote-first role expects strong engineering excellence.