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Senior AI Engineer

1 hour, 28 minutes ago
United States
Full-time
Senior
AI Engineer
Software Development
Apache Spark AWS Celery CI/CD Django FastAPI Generative AI Hadoop Kafka Kubernetes Machine Learning Microservices Python RabbitMQ Redis Reinforcement Learning REST API SQLAlchemy
Apply Now
Klaviyo

Klaviyo

Klaviyo offers intelligent email marketing, SMS, and automation services for ecommerce businesses, empowering brands to personalize customer interactions and drive growth.

IT Services
1K-5K
Founded 2012
View All Jobs 41

Description

  • Design and build backend systems that scale AI solutions for 167,000+ customers.
  • Develop reliable data collection and processing pipelines for machine learning training and inference.
  • Build and maintain production services for serving AI models.
  • Contribute to the evolution of agentic architecture to make AI agents more self-sufficient and performant.
  • Partner with product managers, machine learning engineers, and data scientists to deliver AI solutions.
  • Influence architecture decisions across async processing pipelines and distributed systems.
  • Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Requirements

  • 5–7 years of professional software engineering experience with a strong focus on backend systems and distributed architectures.
  • Hands-on experience building and deploying generative AI and agentic AI applications into production.
  • Experience with prompt engineering, few-shot learning, fine tuning, and evaluation.
  • Strong track record as a backend engineer building scalable, distributed systems for AI capabilities.
  • Proficiency in Python and modern backend frameworks such as FastAPI or Django.
  • Experience creating human and automated evaluations to ensure AI model quality.
  • Proficiency with big data tools such as Apache Spark and Hadoop.
  • Deep experience with asynchronous processing and distributed task queues such as Celery, Kafka, SQS, RabbitMQ, or Redis.
  • Strong understanding of database technologies and ORMs such as SQLAlchemy and Alembic.
  • Experience with cloud-native architectures on AWS and container orchestration with Kubernetes, including infrastructure and CI/CD pipelines.
  • Ability to design and build robust APIs.
  • Ability to work autonomously, handle ambiguity, and thrive in a fast-moving startup-like environment.
  • Strong curiosity and a habit of staying current in a rapidly evolving field.
  • Comfortable collaborating directly with product managers and customers to shape solutions.
  • Nice to have: experience training ML models and deploying them in production systems.
  • Nice to have: experience in reinforcement learning.

Benefits

  • Base salary range of $148,000–$222,000 USD for US locations.
  • Potential participation in the company’s annual cash bonus plan.
  • Equity may be included in the total compensation package.
  • Sign-on payments may be included in the total compensation package.
  • Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
  • Up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events.

Interested in this position?

Apply directly on the company website

Apply Now

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