AI Builder Resident

Klaviyo • Boston, MA

13h • Onsite

About The Position

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building AI systems that transform how our employees work. As an AI Builder Resident, you’ll join a cohort of builders focused on developing AI-powered internal tools that automate workflows, improve knowledge access, and unlock productivity across the company.
This is a 1-year, hands-on builder program (starting June 22, 2026) designed for candidates who have demonstrated the ability to build real things with AI. You’ll embed directly with business teams, working on high-impact problems and shipping production-ready agentic AI solutions. This role focuses on building and deploying agentic and LLM-powered applications in production, with an emphasis on learning, execution, and growing your ability to work across the AI system stack.
This role sits at the intersection of engineering, product thinking, and real-world problem solving. It emphasizes execution, curiosity, and ownership, with the expectation that you’ll actively build, iterate, and deploy—not just observe. This role is designed to accelerate your growth by giving you direct ownership of real problems and production systems from day one.

Requirements

• Able to work on-site in Boston for the full 1-year program (40 hrs/week) starting on June 22
• Demonstrated experience building something real with AI (e.g., side project, automation, product, tool, or workflow)
• Comfort using AI-assisted coding tools to develop and iterate quickly
• Working knowledge of Python and/or modern scripting/backend tools
• Familiarity with best in class LLMs, APIs, and basic system integration concepts
• Ability to learn quickly and operate in a fast-paced, ambiguous environment, taking initiative to define and solve problems without waiting for direction
• Curious, resourceful, and action-oriented with a strong bias toward building
• Comfortable figuring things out independently and pushing projects forward
• Strong alignment with Klaviyo’s builder culture: curious generalists motivated by impact and continuous learning
• Does not require visa sponsorship now or in the future

Nice To Haves

• Experience building agentic AI workflows
• Exposure to RAG systems, embeddings, or vector databases
• Experience integrating APIs or working with internal tools/systems
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Background can vary across software engineering, IT, or career-switch paths (Computer Science degree not required)
• Exposure to frontend or full-stack development

Responsibilities

• Embed with business teams to identify opportunities: Partner with internal teams to uncover workflow inefficiencies and translate ambiguous business problems into AI-powered solutions. Own problems end-to-end from discovery through deployment, not just execution.
• Build AI-powered workflow automations: Design and implement solutions that automate repetitive or complex tasks using LLMs and agentic workflows.
• Develop agent-based systems and integrations: Build AI agents that can take actions, chain tasks, and integrate with internal systems (e.g., HR, CRM, ticketing tools). Surface insights and patterns from deployments to inform broader AI platform and tooling improvements
• Ship internal AI tools into production: Use AI-assisted coding tools to rapidly prototype, gather feedback, iterate, and deploy scalable, production-ready systems used by teams across Klaviyo. Ensure solutions are adopted and deliver real impact.
• Advance team AI maturity: Help teams move from basic AI usage to more advanced capabilities (e.g., structured workflows, agent orchestration, deeper integrations)
• Collaborate to scale solutions: Work directly with stakeholders day-to-day and alongside teams such as Amplify and GTS to deploy and operationalize AI solutions at scale.
• Contribute to a culture of building: Act as a visible example of Klaviyo’s “built different” mindset—taking initiative, experimenting rapidly and delivering tangible results.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed