Note: The job is a remote job and is open to candidates in USA. OpenZeppelin is a security company focused on securing onchain finance through open-source libraries, AI-native tooling, research, and audit expertise. The AI Operations Engineer designs, implements, tests, and maintains AI automation workflows and scheduled tasks, while contributing product feedback and source code to the internal AI automation framework. The role also involves monitoring automation performance, collaborating with business units, and delivering training and documentation on applied AI topics.
Responsibilities
- 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
Skills
- 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
- Strong ability to communicate deeply technical topics, both written and spoken, and patience working with non-technical colleagues. You will be their bridge into the agentic workflow
- Familiarity with AI software development techniques like spec-driven development or RPI (Research, Plan, Implement), with the principal AI development harnesses like Claude Code, Codex, or OpenCode, and with SDD tooling like Superpowers or Spec Kit
- Experience running evaluations of LLM systems (evals, benchmarks, regression testing of prompts)
- Ability to work autonomously and as a collaborator on the team
Benefits
- Meet your teammates at company gatherings around the world
- Fully remote work
- Flexible time off
- 8 weeks of paid leave for primary caregivers
- 4 weeks of paid leave for secondary caregivers
- A one-time $3,600 baby bonus
- Up to $500 in equipment support for your home office
- Medical insurance
- Learning and development opportunities
- A monthly stipend for a preferred co-working space
- A paid work trial of 10–20 hours
Company Overview