Senior AI Engineer - Customer Agent

Klaviyo is seeking a Senior AI Engineer to join the Customer Agent team in Boston. This onsite role centers on designing and building scalable backend systems and AI agent solutions for an AI-native conversational platform, with the goal of delivering robust experiences for 167K+ customers. The position offers a competitive salary range of USD 148,000 to 222,000 per year.

Responsibilities

• 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.

Requirements

• 5-7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.
• 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.
• Proficient in Python and modern backend frameworks (FastAPI, Django preferred).
• Experience creating human and automated evals to ensure high AI model quality.
• Proficient in big data tools such as Apache Spark and Hadoop.
• Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
• Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).
• Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.
• Skilled at designing and building robust APIs.
• Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.
• Driven by curiosity and committed to staying up to date with a rapidly evolving field.
• Comfortable collaborating directly with product managers and customers to shape solutions.

Technologies

• Python
• FastAPI
• Django
• Apache Spark
• Hadoop
• Celery
• Kafka
• SQS
• RabbitMQ
• Redis
• SQLAlchemy
• Alembic
• AWS
• Kubernetes

Benefits

• annual cash bonus plan
• variable compensation (OTE) for sales and customer success roles
• equity
• sign-on payments
• health, welfare, and wellbeing benefits

Nice to Have

• Trained ML models in the past and deployed them in production systems to generate impact to businesses.
• Experience in reinforcement learning.