Senior AI Platform Engineer — Remote (Customer Agent)

The Briefed

Boston (MA)

Remote

USD 148,000 - 222,000

Full time

3 days ago
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Benefits offered by this job

Equity compensation
Medical, dental, vision insurance
Remote work with travel

Job summary

Klaviyo is seeking a Senior Software Engineer on the Applied AI (Customer Agent) team to help build the AI-native conversational platform that powers autonomous customer service and multi-channel engagement.

You will design, scale, and deploy end-to-end systems spanning frontend React/TypeScript and backend Python/Django on AWS, mentor engineers, and drive cross-functional initiatives with product, design, and data science teams.

Qualifications

  • 7+ years of professional software engineering experience.
  • Experience with full-stack development across frontend and backend.
  • Experience leading multi-week technical projects and teams.
  • Hands-on with AI/LLM tooling, RAG, or agentic workflows.
  • Strong testing and automated CI/CD practices.
  • Product-minded with rapid iteration in fast-moving environments.

Responsibilities

  • Architect and scale end-to-end conversational AI platform components.
  • Design LLM orchestration, prompts, embeddings, and retrieval workflows.
  • Deliver full-stack solutions using React/TypeScript and Python/Django on AWS.
  • Provide technical leadership, code reviews, and mentoring.
  • Collaborate with Product, Design, Data Science, and GTM to translate needs into features.
  • Maintain CI/CD, observability, tracing, and testing for reliability.

Skills

Software engineering
Full-stack
Technical leadership
AI/LLM
Code reviews
Product mindset

Tools

Python
React
TypeScript
AWS
LangSmith
Phoenix

Job description

Klaviyo is seeking a Senior Software Engineer on the Applied AI (Customer Agent) team to help build the AI-native conversational platform that powers autonomous customer service and multi-channel engagement.

You will design, scale, and deploy end-to-end systems spanning frontend React/TypeScript and backend Python/Django on AWS, mentor engineers, and drive cross-functional initiatives with product, design, and data science teams.

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