Senior AI Engineer

Confirmed live in the last 24 hours

Klaviyo

Compensation

$148,000 - $222,000/year

Boston, MA

On-site

Posted April 4, 2026

Job Description

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.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. AI Engineer at Klaviyo, you’ll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You’ll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more.

How You Will Make a Difference

Design and build backend systems that support scaling our AI solutions for 167K+ customers.
Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.
Develop robust, reliable and scalable services to serve AI models in production environments.
Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.
Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Who You Are

5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.
Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.
Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.