Staff Software Engineer, AI Developer Productivity
Role in brief
Coinbase is looking for a Staff Software Engineer to enhance AI Developer Productivity. This role focuses on building AI workflows for code improvement and developer efficiency. Candidates should have extensive experience with AI tools and backend programming languages.
About the role
In this role, you will be responsible for developing AI workflows that enhance code quality and developer productivity within Coinbase's Institutional engineering team. This involves creating automated systems for code refactoring, test generation, and bug detection, tailored to meet the needs of high-stakes financial systems.
You will collaborate with cross-functional teams to integrate AI-powered tools into the development lifecycle, ensuring adherence to technical standards and best practices. Success in this position means driving the adoption of AI-assisted development practices and demonstrating measurable improvements in code quality and developer satisfaction.
The annual base salary for this role ranges from $218,025 to $256,500, depending on location.
Skills that matter here
- Java: You will utilize Java to build and orchestrate AI agent frameworks.
- Python: Python will be used for developing AI workflows and productivity tools.
- Go: Experience with Go is essential for integrating AI agents into the engineering workflow.
- AI: The role focuses on leveraging AI to automate code improvement processes.
- LLM: You will work with large language models to enhance developer tools.
- code automation: Automating code processes is a key responsibility of this position.
Who this role suits
- A seasoned software engineer with over 8 years of experience, particularly in AI and LLM development.
- Someone who thrives in a fast-paced, high-pressure environment and is driven to exceed expectations.
- A collaborative team player who effectively partners with cross-functional teams to deliver impactful solutions.
- An individual with a strong understanding of financial systems and a commitment to maintaining high standards of security and reliability.
From the employer
What You'll Do
- Own the architecture and delivery of agentic AI workflows for continuous code improvement, including automated refactoring, test generation, and proactive bug detection tailored to Institutional systems.
- Build developer productivity tooling that integrates LLM-powered agents into the Institutional engineering workflow, from code review through deployment.
- Partner with Platform's AI and DevX teams to align on shared infrastructure while customizing capabilities for Institutional's unique reliability, security, and regulatory requirements.
- Drive adoption of AI-assisted development practices across Institutional engineering, measuring impact on velocity, code quality, and developer satisfaction.
- Shape technical standards and best practices for human-AI collaborative development within the Institutional org, ensuring safe and governed use of AI agents in high-stakes financial systems.
Required Skills and Experience
- 8+ years of software engineering experience with at least 2 years building AI/LLM-powered developer tools, agentic workflows, or code automation systems.
- Proven track record of designing and shipping production-grade systems that integrate LLMs or AI agents into software development lifecycles (e.g., code generation, automated review, CI/CD automation).
- Deep fluency in Java, Python, Go, or similar backend languages, with hands-on experience building and orchestrating AI agent frameworks (e.g., LangChain, LangGraph, or custom agent architectures).
- Demonstrated 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 where correctness, auditability, and security are non-negotiable.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
What Coinbase Offers
- Base salary varies by location (see range below).
- Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus): $218,025—$256,500 USD.
- Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
- Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
Questions about this role
What is the remote policy?
Coinbase operates as a remote-first company, with quarterly in-person working sessions.
What is the required seniority level?
This position is for a senior-level candidate with at least 8 years of software engineering experience.
How do I apply?
Candidates can submit a maximum of 3 applications within a 6-month period.
✓ Drop your CV once, then continue to the employer's application form. Your profile stays here for every recruiter hiring on web3vacancy.