Klaviyo

Lead AI Engineer

Klaviyo

full-time

Posted on:

Location Type: Office

Location: London • 🇬🇧 United Kingdom

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Salary

💰 £140,000 per year

Job Level

Senior

Tech Stack

ApacheAWSCloudDistributed SystemsDjangoHadoopKafkaKubernetesPythonRabbitMQRedisSpark

About the role

  • Set technical direction and drive design of scalable backend systems and AI-powered user experiences
  • Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers
  • Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale
  • Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences
  • Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases
  • Mentor and guide engineers, fostering technical excellence, ownership, and customer-centric product thinking
  • Partner with product managers, machine learning engineers, and data scientists and cross-functional leaders to influence AI product strategy and deliver high-impact solutions

Requirements

  • 7–10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures
  • Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment
  • Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities
  • Proficient in Python and modern backend frameworks (FastAPI, Django preferred)
  • Skilled with big data tools (Apache Spark, Hadoop)
  • Experience with distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis)
  • Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines)
  • Demonstrated technical leadership — mentoring engineers, shaping architecture, and raising engineering practices
  • Thrives in a fast-paced, startup-like environment with high autonomy and ownership
  • Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research
  • Nice to have: experience training and deploying reinforcement learning systems
  • Nice to have: prior experience leading cross-functional initiatives involving data science, ML engineering, and product
Benefits
  • participation in the company’s annual cash bonus plan
  • variable compensation (OTE) for sales and customer success roles
  • equity
  • sign-on payments
  • comprehensive range of health, welfare, and wellbeing benefits based on eligibility
  • generous benefits and accommodations as needed

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
backend systemsdistributed architecturesAI/MLLLMsPythonFastAPIDjangobig data toolsApache SparkHadoop
Soft skills
technical leadershipmentoringcustomer-centric product thinkingadaptabilitycuriosityownershipinfluencecollaborationproblem-solvingcommunication