Senior Full Stack Engineer, AI Enablement Team

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying.

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Why You Should Join the AI Enablement Team

Join our dynamic AI Enablement team and play a pivotal role in accelerating our engineering organization's velocity and innovation. As a Sr. Software Engineer, you'll be instrumental in building the "paved paths" that make it seamless and efficient for every engineer to leverage the power of Artificial Intelligence throughout the Software Development Lifecycle (SDLC). We are looking for an experienced Full Stack Engineer with a deep passion for using AI and automation to solve complex, large-scale problems.

What You’ll Achieve:

Key Responsibilities

You will be the driving force behind AI adoption across our engineering teams, focusing on tangible, impactful outcomes:

• Technical Leadership:
Act as a subject matter expert for AI-driven engineering tools, mentoring other engineers and championing a culture of AI-first development.

• Build Paved Paths:
Design, implement, and maintain robust, scalable full-stack platforms and tools that allow other engineers to easily integrate and utilize AI services and capabilities within their projects.

• Drive Automation:
Identify high-leverage opportunities to apply AI for automating engineering processes, such as code generation, testing, deployment, and operational tasks, to dramatically improve engineering efficiency and velocity at scale.

• Establish Best Practices:
Define the standards, patterns, and architectural guidance for responsible and effective AI enablement, ensuring reliability, security, and performance.

• Cross‑Functional

Collaboration:

Partner closely with Product, Machine Learning, and other Engineering teams to understand needs, gather requirements, and deliver production‑ready solutions.

What Makes This Role Exciting

• Hot Start & High Impact:
You won't be on a "listening tour." Your first 90 days will involve tackling tangible projects that provide an immediate impact on engineering productivity.

• Shape the Future:
You will be at the forefront of defining how a rapidly growing engineering organization utilizes generative AI and ML to operate more effectively.

• Ownership and Ambition:
You will have significant ownership over the tools and platforms you build, solving complex, open‑ended problems that directly contribute to our company's ambition and growth.

Who You Are:

• 5+ years of full stack development experience.

• Hands‑on experience with one or more front end technologies (React, Type Script, Angular, Vue, etc.)

• Strong experience with specific AI/ML frameworks or platforms (e.g., PyTorch, Tensor Flow, Lang Chain, Claude, Gemini, Copilot).

• Prior experience in a high‑growth environment, navigating technical complexity and change.

• Experience with Python / Django or similarly typed languages.

• Experience with designing and managing scalable databases.

• Experience building and maintaining complex software. You’ll join us in writing clean, maintainable software that solves hard problems. You’ll write testable, quality code. You’ll push the team and the mission forward with your contributions.

• Strong experience with AWS services, how to stand up infrastructure, and monitor for defects.

• Hands‑on experience with building REST APIs, Graph

QL, and other middleware development tools.

• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Technologies we use (not exhaustive):

• Python, Django, Celery

• MySQL, Redis, Pulsar

• Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other Dev Ops tools

• React,…