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AI Lead Engineer

Role overview

Qualifications

  • 4+ years of experience in software engineering or a technical/analytical role
  • 1+ year working with applied AI, generative AI, or automation
  • Strong understanding of LLMs and common patterns (e.g., retrieval, agents)
  • Hands-on experience with AI tools and frameworks (e.g., Gemini, Claude, LangChain, Python)

Responsibilities

  • Design and iterate on practical AI tools such as copilots, agents, and automated workflows using modern GenAI techniques; write clean, reliable code in Python and Golang to support these solutions
  • Partner with engineering and data teams to turn prototypes into secure, scalable, production-ready systems
  • Guide teams on AI capabilities, responsible use, and best practices; mentor others on design, coding standards, and effective AI tools
  • Pilot new solutions with teams, gather feedback, iterate quickly, and support rollout; work with Security, Legal, and Compliance to meet privacy, security, and ethical standards

About the company

Optimism Foundation logo

Optimism Foundation

Blockchain, Crypto & Web3

The Optimism Foundation's mission is to seed and grow an ecosystem of projects and infrastructure that drives global adoption of the Optimism protocol.

Company details

IndustryBlockchain, Crypto & Web3
Company size2 - 10

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Job description

OP Labs is the team building the technology behind Optimism, the leading blockchain infrastructure provider powering 65% of all Layer 2 transactions. Our open-source OP Stack enables developers and enterprises to launch scalable, secure, and customizable onchain networks with ease. Backed by a16z, Paradigm, and others, OP Labs has raised over $175M to drive the next generation of onchain innovation.

What are the role responsibilities?

  • Partner Across the Organization

    • Work closely with Data and business teams to understand workflows, identify pain points, and find high-impact opportunities for AI-driven automation and efficiency.

    • Turn business problems into clear AI use cases.

  • Build & Prototype AI Solutions

    • Design and iterate on practical AI tools such as copilots, agents, and automated workflows using modern GenAI techniques. Write clean, reliable code in Python and Golang to support these solutions.

  • Scale to Production

    • Partner with engineering and data teams to turn prototypes into secure, scalable, production-ready systems.

  • Serve as an Internal AI Advisor

    • Guide teams on AI capabilities, responsible use, and best practices. Mentor others on design, coding standards, and effective AI tools.

  • Drive Adoption

    • Pilot new solutions with teams, gather feedback, iterate quickly, and support rollout to ensure real business impact.

  • Ensure Responsible AI

    • Work with Security, Legal, and Compliance to meet privacy, security, and ethical standards.

  • Measure Impact

    • Define success metrics and track outcomes such as:

      • Time saved

      • Cost reduction

      • Increased speed and productivity

      • Revenue impact

      • Risk reduction

  • Stay Current

    • Continuously explore new AI models, tools, and practices to bring practical innovations into the business.

What skills do you bring?

  • Experience

    • 4+ years in software engineering or a technical/analytical role

    • 1+ year working with applied AI, generative AI, or automation

  • AI & Automation Skills

    • Strong understanding of LLMs and common patterns (e.g., retrieval, agents)

    • Hands-on experience with AI tools and frameworks (e.g., Gemini, Claude, LangChain, Python)

    • Ability to quickly prototype working solutions

  • Software Engineering Strength

    • Experience building and scaling production systems

    • Strong system design, coding, and debugging skills

  • Business Mindset

    • Ability to understand business processes and turn them into technical solutions

    • Focus on measurable impact and ROI

    • Experience in fintech, crypto, or high-growth environments is a plus

  • Communication & Influence

    • Clear communicator with technical and non-technical audiences

    • Proven ability to drive adoption across teams

  • Problem Solving & Execution

    • Comfortable with ambiguity and fast iteration

    • Able to manage multiple projects in a dynamic environment

  • Collaboration & Risk Awareness

    • Experience working with engineering, legal, security, and compliance teams

    • Strong understanding of privacy and ethical considerations

  • Nice to Haves:

    • Background in BizOps, Data Science, Data Engineering, or Product Engineering

    • Experience building AI agents or advanced automation workflows

What will you like about us?

  • We take care of our employees. Competitive compensation, fully paid medical, dental, and vision, and a 4% 401K match.

  • We take pride in the accomplishments of our teammates and support each other in doing the best work of our careers.

  • Our team is a diverse group of people from varied backgrounds. We cherish our eclecticism and consider it a great strength.

  • We’re fully remote, deeply engaged, highly skilled, and like to have fun.

  • We think long-term. Our founders have been scaling Ethereum since 2015.

  • Learn more about our interviewing here!

We are aware of fraudulent individuals falsely claiming to represent OP Labs in recruitment activities.
Please note:

  • All official communication will come from an @oplabs.co email address, or from a verified Linked profile.

  • We will never ask for payment, banking information, or personal identification details at any stage of our hiring process.

  • All current openings are listed exclusively on our official careers page and linked from our verified social profiles.

  • If you’re ever unsure about a communication that claims to be from OP Labs, please contact us directly at people@oplabs.co to verify authenticity.

Your safety and trust are very important to us. Thank you for helping us prevent fraud.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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