AI Operations Engineer

Openzeppelin · RemoteRemotejunior

In short

▸Diseñar e implementar flujos de automatización con IA para procesos internos de la empresa.
▸Trabajar con distintas áreas para optimizar tareas mediante agentes y workflows inteligentes.
▸Ser parte del desarrollo y mejora de un framework interno de automatización de IA, contribuyendo con código y retroalimentación.

Fluency in English required

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What they ask for

✓Experiencia práctica en sistemas de IA aplicada.
✓Dominio de conceptos como ingeniería de prompts, contexto y uso de herramientas.
✓Conocimiento de APIs de LLM (OpenAI, Anthropic, OpenRouter).
✓Experiencia con TypeScript, Git y GitHub.
✓Capacidad para escribir y estructurar contenido en Markdown.
✓Enfoque de seguridad desde el principio en el diseño de agentes.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

TypeScriptOpenAI Chat Completions APIOpenAI Responses APIAnthropic Messages APIOpenRouterMCP servers (remote and local)AgentsAgent harnessesPrompt engineeringContext engineering

Who should you write to at Openzeppelin?

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About us 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. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The AI Operations Team The AI Operations team owns the agentic layer the rest of the company runs on. We build the workflows, agents, and scheduled tasks that automate business processes end to end, and we build and maintain the proprietary framework those components ship in. Every business unit at OpenZeppelin is a customer of this team. What you'll be doing The role has two primary work streams. AI workflow design, implementation, and maintenance. You understand the fundamental AI building blocks that we use in the company, and you work with interdisciplinary business units to help them identify flows in their processes that can be optimized and automated with AI. Internal AI automation framework product feedback and contribution. Based on the experience that you obtain as a consumer of the internal AI automation framework, and on your study of the ecosystem, you provide product feedback (feature requests, bug reports, etc.), contribute to the source code of the framework, and take part in peer review and development. • Work together with different business units in the company to understand where and how AI can be applied in their daily workflows to improve their overall productivity. • Design, implement, test, and maintain AI automation workflows and scheduled tasks that encapsulate and automate business processes that span the company. • Monitor and measure automation executions, and iterate on the components that underperform. • Provide product feedback for fixes and new features in the internal AI automation framework, and peer review and actively maintain its source code as a developer on the AI Operations team. • Run training sessions and write internal guides on applied AI topics such as skill development, agent design, and prompt/context engineering. You have • Hands-on experience building applied AI systems, and fluency with both the concepts involved (prompt engineering, context engineering, prompt caching, tool use, progressive disclosure) and the fundamental building blocks: skills, remote and local MCP servers, agents, and agent harnesses. • Practical experience with LLM provider APIs and gateways, such as the the OpenAI Chat Completions and Responses APIs, the Anthropic Messages API, or OpenRouter. • Ability to read, write, and structure Markdown-based systems (skills, agent definitions, workflow specs, and knowledge bases), alongside TypeScript development experience and solid Git and GitHub fluency: branches, pull requests, reviews, and the discipline to keep shared repositories clean. • A security-first mindset: you think about what an autonomous agent should not be allowed to do before you ship it. • Stro

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