AI Automation Developer - OpenZeppelin

OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.

The AI Product team at OpenZeppelin harnesses frontier AI models to uncover security vulnerabilities in our clients' codebases. Operating at the cutting edge of agentic development, we build tools that augment expert auditors and scale world class security review to meet the demands of a rapidly growing onchain ecosystem. Our mission extends beyond vulnerability detection. We're expanding into compliance checks and other critical assurance workflows, delivering comprehensive security intelligence across the development lifecycle. Our systems have already surfaced critical bugs in widely used protocols, and we partner with leading financial institutions to secure the codebases powering the future of onchain finance.

• •Build, improve, and maintain AI powered workflows used to find issues in codebases.
• •Implement experiments designed by the AI Security Researcher and help convert ideas into working systems.
• •Develop automation pipelines that run the AI Auditor across repositories, files, functions, and specific areas of interest.
• •Improve the agent’s workflow: code ingestion, context gathering, prompting, tool usage, evaluation, reporting, and feedback loops.
• •Build internal tools that help the team compare outputs, measure quality, reduce false positives, and identify regressions.
• •Integrate LLMs, agents, APIs, code analysis tools, and internal systems into reliable workflows.
• •Create repeatable evaluation processes so improvements can be measured over time.
• •Refine prompts, chains, tools, and execution strategies to improve the quality of findings.
• •Work closely with security researchers to understand what the AI Agent should do differently.

• •Company in-person gatherings in different locations around the world 😎
• •Fully remote work 🌎
• •Flexible time off 🏝
• •Paid parental leave 💙
• •One time work-from-home equipment stipend of up to $500 USD 🪑
• •Medical insurance coverage 🏥
• •Learning & Development opportunities 🧠
• •Work with a global team in a fast-growing industry 🚀

• •Strong software development experience, especially building automation, internal tools, backend systems, or developer tooling.
• •Experience working with APIs, scripts, pipelines, queues, databases, and integrations.
• •Practical experience using LLMs or AI tools to automate technical workflows.
• •Ability to take a research idea and turn it into a working implementation.
• •Good judgment around reliability, maintainability, and simplicity.
• •Ability to work closely with non-traditional product inputs, such as researcher feedback, evaluation results, and experimental findings.
• •Comfort working independently and iterating quickly.
• •Interest in security, code analysis, AI agents, and developer productivity.