Software Engineer Intern, Developer Tools
Figma
JavaScriptPythonReact
Senior Software Engineer, AI
Klaviyo
full-time
Posted on:
Location Type: Office
Location: London • 🇬🇧 United Kingdom
Visit company websiteSalary
💰 £110,000 per year
Job Level
Senior
Tech Stack
ApacheAWSCloudDistributed SystemsDjangoHadoopKafkaKubernetesPythonRabbitMQRedisSpark
About the role
- Design and build backend systems that support scaling Klaviyo’s 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 the agentic architecture — making AI agents more self-sufficient and performant
- Partner closely with product managers, machine learning engineers, and data scientists to drive real-world impact at scale
- Influence architecture, asynchronous processing pipelines, distributed systems, and CI/CD
- 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 stays up to date with rapidly evolving field
- Comfortable collaborating directly with product managers and customers to shape solutions
- Nice to have: Trained ML models and deployed them in production systems
- Nice to have: Experience in reinforcement learning
Benefits
- participation in the company’s annual cash bonus plan
- variable compensation (OTE) for sales and customer success roles
- equity
- sign-on payments
- a comprehensive range of health, welfare, and wellbeing benefits based on eligibility
- recruiter can provide specific salary/OTE range for preferred location during hiring process
- accommodations as needed
- link: Klaviyo Rewards - Global Benefits (https://klaviyorewards.com/global-benefits/)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonFastAPIDjangoApache SparkHadoopCeleryKafkaSQSRabbitMQRedis
Soft skills
autonomycuriositycollaborationcustomer-centric thinkinghandling ambiguityexperimentationownershipcommunicationinfluenceproblem-solving