AI Lead Engineer

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 remote-friendly with an NYC office where we like to collaborate in person.

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

- Learn more about our interviewing here! https://oplabs.notion.site/Interviewing-at-OP-26cf153ee1628080ab4fd1ddca5b5998