Sr. Software Engineer, AI Enablement

Klaviyo; Boston (MA); On-site; USD 148,000 - 222,000; Full time

Job summary

Klaviyo is seeking a Senior Software Engineer to join our dynamic AI Enablement team in Boston, Massachusetts. In this role, you’ll accelerate engineering productivity by applying Artificial Intelligence to software engineering. You will take ownership of AI-driven tools and platforms, collaborating closely with diverse teams to design scalable solutions.

With over 5 years of full stack development experience, candidates should be proficient in Python, React, and AI frameworks. The position offers a competitive salary range from $148,000 to $222,000 USD, with possible travel requirements.

Qualifications

• 5+ years of full stack development experience.
• Hands-on experience with front end technologies (React, TypeScript, etc.).
• Strong experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Prior experience in a high-growth environment.
• Experience building REST APIs.

Responsibilities

• Act as a subject matter expert for AI-driven engineering tools.
• Lead the design and implementation of robust AI capabilities.
• Identify opportunities to automate engineering processes.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Full stack development

AI/ML frameworks

Python / Django

AWS services

Front end technologies

Tools

Python

Django

React

MySQL

Terraform

Job description

Senior Software Engineer, AI Enablement

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 Senior Software Engineer, you’ll be at the forefront of how we apply Artificial Intelligence to software engineering—building the foundational frameworks, experimenting in real production workflows, and contributing to how teams across the company build with AI. 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

• Technical Leadership: Act as a subject matter expert for AI-driven engineering tools, mentoring other engineers and championing a culture of AI-first development.
• Experiment: Continuously experiment with AI tools—testing, learning, and sharing insights to keep the team and organization ahead of the curve, as well as championing new applications that accelerate workflows and elevate quality responsibly.
• 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.
• Establish Best Practices: Apply and contribute to the standards, patterns, and architectural guidance for responsible and effective AI enablement, ensuring reliability, security, and performance.
• Cross-Functional Collaboration: Partner closely with Product, Design, 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 applying generative AI and ML to drive meaningful improvements to how our engineering teams work.
• 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, TypeScript, Angular, Vue, etc.).
• Strong experience with specific AI/ML frameworks or platforms (e.g., PyTorch, TensorFlow, LangChain, 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 write 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, GraphQL, 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
• Braintrust, chronosphere
• Claude, Cursor
• MySQL, Redis, Pulsar
• Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other DevOps tools
• React, TypeScript, JavaScript, HTML, CSS

Massachusetts Applicants

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Base Pay Range For US Locations:

$148,000 – $222,000 USD

This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human‑in‑the‑loop). We provide accommodations as needed.

Klaviyo is committed to a policy of equal opportunity and non‑discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non‑company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.