AI Enablement Engineer

LayerZero Labs; Vancouver; On-site; USD 120,000 - 200,000; Full time

Job summary

LayerZero Labs is seeking an AI Enablement Engineer to drive AI integration into operations. In this practical role, you'll collaborate with leadership to develop tools that enhance productivity and structure our AI adoption, making the most of the latest technologies. Perfect for someone passionate about combining AI with operational excellence in a dynamic environment.

Qualifications

• 3–4 years of software engineering experience, including full-stack applications.
• Experience building with AI tools and LLMs.
• Excellent communication and collaboration skills.

Responsibilities

• Build and maintain internal tools that streamline operations.
• Prototype AI-enabled utilities and bring them to production.
• Identify high-impact opportunities for automation across departments.

Skills

Software engineering

AI tools

LLMs

Collaboration

Debugging

Education

Computer Science or related field

Tools

LLM APIs

Vector databases

LangChain

AutoGen

RAG frameworks

Job description

Founded in 2021, LayerZero’s vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With LayerZero's simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains.

We are funded by the best investors in the world including:

a16z, Sequoia, PayPal, Binance Ventures, Coinbase Ventures, Uniswap Labs, Circle Ventures, Delphi Digital, and many more.

ABOUT THE ROLE

We’re hiring our first AI Enablement Engineer to lead one of the most important initiatives at LayerZero: embedding AI deeply into our internal operations to drive productivity, scale, and operational excellence. This is a rare opportunity to shape how our organization functions—using AI to amplify the impact of every team member and help us operate like a 1000-person company, even as a 100-person team.

You’ll work directly with our Chief Operating Officer and Chief Technology Officer to identify high-leverage business problems and build internal tools and automations that solve them. Your north star is simple: use AI to save time, reduce friction, and make LayerZero a more powerful, effective, and enjoyable place to work.

This isn’t a research role or a theoretical position—it’s deeply practical. You’ll talk to people across the company to understand their workflows, identify bottlenecks, and build internal AI-powered products that unlock efficiency. You’ll also help shape our broader approach to AI adoption, ensuring that employees across the company have access to tools that empower them.

WHAT YOU'LL DO

• Build and maintain internal tools and automations that use LLMs and other AI models to streamline operations and give our teams more leverage, including automating your own workflow wherever possible using the latest capabilities.
• Work with the COO and CTO to identify high-impact opportunities for automation and process enhancement across all departments.
• Rapidly prototype AI-enabled utilities (e.g. copilots, bots, assistants) and bring them into production quickly.
• Take ownership of complex systems, making smart architecture decisions (sometimes with help from AI) and debugging as needed across backend and frontend.
• Handle sensitive logic or data with care, operating with a high level of trust and accountability.
• Work closely with colleagues to ensure the tools you build are adopted and deliver clear, immediate value.
• Stay up-to-date with the evolving AI ecosystem (e.g. LLM APIs, agents, eval tools) and continuously apply what you learn to your work.
• Serve as aforce-multiplier, helping LayerZero stay lean, agile, and execution-focused as we scale.

ABOUT YOU

• 3–4 years of software engineering experience, including work on full-stack applications.
• Demonstrated experience building with LLMs and AI tools (e.g. GPT, Claude, open-source models, embedding APIs, vector databases, LangChain/AutoGen/RAG frameworks, etc.).
• Comfort with debugging and productionizing AI-driven applications.
• Ability to operate independently, take full ownership of projects, and prioritize outcomes over perfection.
• Excellent communication and collaboration skills; able to deeply understand others' workflows and pain points.
• Passion for AI: you experiment with new tools, stay on top of model updates, and likely have side projects or personal examples of AI things you’ve built.
• Located onsite (or willing to relocate); this is a highly collaborative and hands-on role.

NICE TO HAVE

• Experience in a high-ownership startup environment or working closely with leadership.
• Familiarity with how blockchain, interoperability protocols, or decentralized systems work.
• Background inoperations, product ops, or internal tooling within tech companies.

The base salary for this position ranges from $120,000/year up to $200,000/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. LayerZero is a total compensation company. Dependent on the position offered, equity, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Equal Opportunity Employer

LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.

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