Klaviyo

Klaviyo

Klaviyo offers intelligent email marketing, SMS, and automation services for ecommerce businesses, empowering brands to personalize customer interactions and drive growth.

IT Services
1K-5K
Founded 2012

Description

  • Design and build production-grade LLM-powered applications for internal automation, knowledge retrieval, and workflow assistance.
  • Build and maintain scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases.
  • Develop full-stack AI features end-to-end, including backend orchestration, APIs, and frontend interfaces.
  • Architect and manage CI/CD pipelines for AI systems, including automated deployment, evaluation, A/B testing, and safe rollout processes.
  • Implement retrieval-augmented generation and retrieval systems grounded in internal knowledge.
  • Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases.
  • Define engineering best practices, including coding standards, testing frameworks, and architectural patterns for AI development.
  • Build observability and monitoring tools for latency, output quality, hallucinations, cost, and production alerts.
  • Collaborate with product managers, data scientists, and ML engineers to translate requirements into technical implementations.
  • Drive security, privacy, and compliance practices for AI integrations and sensitive data handling.

Requirements

  • 3+ years of software engineering experience, with at least 2 years building AI, ML, or LLM-powered systems in production.
  • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, including API-based production integration.
  • Strong full-stack engineering skills in Python (FastAPI, Flask, or Django) and TypeScript or JavaScript.
  • Experience building CI/CD pipelines with tools such as GitHub Actions, Jenkins, or CircleCI.
  • Experience with RAG systems, vector databases such as Pinecone, Weaviate, or pgvector, and embedding models.
  • Proficiency with cloud platforms such as AWS, GCP, or Azure.
  • Experience with containerization tools such as Docker and Kubernetes.
  • Experience with infrastructure-as-code tools such as Terraform or Pulumi.
  • Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.
  • Ability to travel up to 10% for onboarding, team meetings, client or partner work, or industry events.

Benefits

  • Base salary range of $112,000 to $168,000 USD.
  • Eligibility for the company’s annual cash bonus plan.
  • Possible equity compensation.
  • Possible sign-on payments.
  • Comprehensive health, welfare, and wellbeing benefits, based on eligibility.
  • Flexible work-related travel coordinated in advance, up to 10% when required.
  • Accommodations provided as needed for AI fluency and responsible AI use.

Interested in this position?

Apply directly on the company website

Apply Now

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