AI Engineer II

<div class="content-intro"><p><em>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 <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a> to see how we empower creators to own their own destiny.</em></p></div><p>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 182,000 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.</p> <p> </p> <p>As an AI Engineer II 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.</p> <p> </p> <p>How You Will Make a Difference:</p> <ul> <li>Design and build backend systems that support scaling our AI solutions for 182K+ customers.</li> <li>Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.</li> <li>Develop robust, reliable and scalable services to serve AI models in production environments.</li> <li>Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.</li> <li>Contribute to a culture of ownership, experimentation, and customer-centric product thinking.</li> </ul> <p> </p> <p>Who You Are:</p> <ul> <li>Have experience building and deploying generative AI and agentic AI applications into production, with knowledge in prompt engineering, few-shot learning, fine tuning and evaluation. </li> <li>3+ years experience working as a backend engineer building scalable, distributed systems, especially in the service of AI agent capabilities.</li> <li>Proficient in Python and modern backend frameworks (FastAPI, Django preferred).</li> <li>Knowledge of big data tools such as Apache Spark and Hadoop. </li> <li>Knowledge of asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).</li> <li>Understanding of database technologies and ORMs (SQLAlchemy, Alembic).</li> <li>Knowledge of robust APIs.</li> <li>Able to operate with autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.</li> <li>Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field.</li> <li>Comfortable collaborating directly with product managers to shape solutions.</li> </ul> <p> </p> <p>Nice to have:</p> <ul> <li>Trained ML models in the past and deployed them in production systems to generate impact to businesses</li> <li>Experience ... (truncated, view full listing at source)