Klaviyo→
AI Engineer I at Klaviyo in Boston, MA
Entry LevelOn-siteFull-timeBoston, MA$104k–$156k/yr
Skills
artificial intelligencemachine learninggenerative aiagentic aipythonbackend frameworksfastapidjangoai model evaluationreinforcement learninglarge-scale data processingsparkbackend systems developmentcustomer-centric product thinkingexperimentation
Job Description
Summary: Klaviyo is a company that empowers creators to own their destiny by making first-party data accessible and actionable. They are seeking an AI Engineer to design and build scalable backend systems that support AI solutions for their customers, while collaborating closely with product managers and engineers to drive real-world impact at scale.
Responsibilities:
- Design and build backend systems that support scaling our AI solutions for 183K+ customers
- 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
- Engage with internal stakeholders to understand their needs and resolve blockers
- Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo’s ecosystem
- Work with the team on project planning and defining achievements, identifying dependencies, and meeting business goals
Required Qualifications:
- Pursuing an advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, Graduating in December 2025 or May/June 2026
- Previous internship experience in AI, machine learning, or related fields, with a strong interest in building and deploying AI projects
- Have hands-on experience building and deploying generative AI and agentic AI applications into production
- Proficient in Python and modern backend frameworks (FastAPI, Django preferred)
- Experience creating human and automated evals to ensure high AI model quality
- Able to thrive in a fast-moving, startup-like environment
Preferred Qualifications:
- Trained ML models in the past and deployed them in production systems to generate impact to businesses
- Experience in reinforcement learning
- Experience with large-scale data processing tools including Spark
- Experience building large scale backend systems
Required Skills: Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Python, Backend frameworks, FastAPI, Django, AI model evaluation, Reinforcement Learning, Large-scale data processing, Spark, Backend systems development, Customer-centric product thinking, Experimentation
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
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