Sr. Software Engineer, AI Enablement

Requirements

• 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 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, 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.
• Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all ou

Additional Information

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. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. 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 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. 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.

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