AI Engineer Intern: Build Scalable AI Backends

Klaviyo Campus; Boston (MA); On-site; USD 68,000 - 97,000; Full time

Benefits offered by this job

Lunch provided

Free snacks and drinks

Games and activities

Golf simulator

Speakeasy on site

Job summary

Klaviyo is offering an AI Engineering Internship focused on designing and building scalable backend systems and AI agent solutions. You will work closely with product managers, ML engineers, and data scientists to drive real‑world impact at scale, with a backend‑heavy focus and opportunities to influence architecture and pipelines.

Ideal candidates are pursuing an advanced CS/AI degree, graduating in 2027–2028, with hands‑on AI project experience, Python proficiency, and comfort deploying AI in

Qualifications

• Pursuing an advanced CS/AI degree with expected graduation in 2027 or 2028.
• Hands-on experience building and deploying AI projects.
• Familiar with agentic architectures including orchestration, retrieval augmented generation, and safety guardrails.
• Proficient in Python and modern backend frameworks (FastAPI, Django preferred).

Responsibilities

• Design and build backend systems to support AI solutions for 200K+ customers.
• Develop reliable services to serve AI models in production.
• Contribute to evolving agentic architecture for self‑sufficient AI agents.
• Collaborate with product managers, ML engineers, and data scientists to drive impact.

Skills

Python

Backend frameworks

AI/ML

Team collaboration

Production deployment

Education

Pursuing CS/AI advanced degree (Graduating 2027–2028)

Tools

FastAPI

Django

Spark

Job description

Klaviyo is offering an AI Engineering Internship focused on designing and building scalable backend systems and AI agent solutions. You will work closely with product managers, ML engineers, and data scientists to drive real‑world impact at scale, with a backend‑heavy focus and opportunities to influence architecture and pipelines.

Ideal candidates are pursuing an advanced CS/AI degree, graduating in 2027–2028, with hands‑on AI project experience, Python proficiency, and comfort deploying AI in