Senior AI Enablement Engineer - Drive AI at Scale

Klaviyo Inc.; Boston (MA); Hybrid; USD 148,000 - 222,000; Full time

Job summary

Klaviyo in Boston is seeking a Senior Software Engineer for AI Enablement to drive AI adoption across engineering. You will lead, build, and scale full-stack platforms and tools that help teams integrate AI services into projects.

You will mentor engineers, experiment with AI tools, and define best practices ensuring reliability, security, and performance while accelerating engineering velocity.

Qualifications

• 5+ years of full stack development experience.
• Hands-on with front end technologies (React, TypeScript, Angular, Vue).
• Strong experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Claude, Gemini, Copilot).
• Experience with Python / Django and scalable databases.
• Experience building and maintaining complex software with testable, quality code.
• Experience with AWS services, infrastructure, and monitoring defects.
• Hands-on experience with REST APIs, GraphQL, and middleware.
• Experience applying AI to work or personal projects and learning new tools quickly.

Responsibilities

• Act as SME for AI-driven engineering tools and mentor engineers.
• Experiment with AI tools to improve workflows and quality responsibly.
• Design, implement, and maintain scalable full-stack platforms for AI services.
• Identify opportunities to automate engineering processes (code generation, testing, deployment).
• Apply standards and architectural guidance for reliable AI enablement.
• Collaborate cross-functionally with Product, Design and other Engineering teams to deliver production-ready solutions.

Skills

Full stack

AI tooling

Python

AWS

Tools

React

TypeScript

Django

Job description

Klaviyo in Boston is seeking a Senior Software Engineer for AI Enablement to drive AI adoption across engineering. You will lead, build, and scale full-stack platforms and tools that help teams integrate AI services into projects.

You will mentor engineers, experiment with AI tools, and define best practices ensuring reliability, security, and performance while accelerating engineering velocity.