Senior AI Software Engineer - Amplify C.s

Klaviyo Klaviyo · Enterprise · Dublin, Ireland · Engineering

Senior AI Software Engineer on the Amplify team, responsible for building internal tools, platforms, and AI-powered automation to improve efficiency and scale for internal teams. The role involves designing, building, and owning complex internal products, APIs, data pipelines, and AI-powered workflows, partnering with internal customers, and ensuring operational excellence. The engineer will also use modern AI tools in their development workflow and contribute to shared patterns for building internal tools and AI systems.

What you'd actually do

  1. Design, build, and own complex internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams.
  2. Lead the end-to-end lifecycle of projects and features – from discovery and technical design through implementation, rollout, and long-term ownership.
  3. Partner closely with internal customers to understand their workflows and constraints, and translate real operational challenges into scalable, maintainable solutions that measurably improve productivity, quality, and reliability.
  4. Take ownership of the technical and architectural evolution of parts of the Amplify platform, anticipating scalability, reliability, and observability needs as usage grows.
  5. Define and maintain operational standards for the systems you own, including SLOs, monitoring, incident response, and follow-up on root-cause analysis.

Skills

Required

  • building and operating highly available, full-stack SaaS systems
  • leading the delivery of significant projects or features independently
  • deep expertise in modern web engineering (backend services, data pipelines, internal platforms, or AI-enabled systems)
  • solid understanding of scalable, multi-tenant architectures
  • regularly use AI-powered tools in development workflow
  • ownership of operational excellence (performance, reliability, observability)
  • clear communicator and collaborative teammate
  • leading technical discussions
  • writing design docs or RFCs
  • keeping stakeholders aligned
  • working in small, autonomous, agile teams
  • shipping incrementally
  • partnering closely with product managers and other engineers

Nice to have

  • building internal tools, platforms, or automations
  • improving reliability, productivity, or operational efficiency
  • full-stack environments
  • diagnosing and improving application performance, database queries, and complex, multi-service workflows
  • building or integrating AI-powered systems and agents
  • workflows using LLM APIs/SDKs
  • agentic or automated workflows
  • RAG pipelines
  • evaluation/monitoring frameworks
  • cloud infrastructure (AWS preferred)
  • infrastructure-as-code (Terraform)
  • containerised environments (Kubernetes)
  • designing services that run reliably at scale

What the JD emphasized

  • AI-powered workflows
  • AI-powered systems
  • AI-driven systems
  • AI-powered automation
  • AI-powered tools
  • operational excellence
  • highly available, full-stack SaaS systems
  • scalable, multi-tenant architectures

Other signals

  • AI-powered workflows
  • AI-powered systems
  • AI-driven systems
  • AI-powered automation
  • AI-powered tools