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ZapierZapierUnited States

Sr. Applied AI Engineer

Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.

102k – 287k
Remote4+ YOEML Engineering

About the role

Responsibilities

  • Contribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier
  • Develop and maintain core services such as LLM proxy server, platform APIs, and reusable tooling that standardize how teams access and operate models in production
  • Build and improve parts of the LLM Ops and ML Ops stack, including observability, monitoring, evaluation workflows, and operational tooling
  • Design and implement systems that improve the performance, reliability, safety, and cost efficiency of AI-powered experiences
  • Collaborate closely with engineers across product, infra, and data teams to ensure AI components are reusable, well-documented, and easy to adopt company-wide
  • Evaluate emerging tools, models, and patterns in the AI ecosystem and help determine which ones should be incorporated into Zapier's shared platform

Requirements

  • 4+ years of experience in software engineering, including experience building and operating production AI/ML systems
  • At least 1 year of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work
  • Experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers
  • Experience working through the full lifecycle of building, testing, deploying, and scaling ML/LLM architectures
  • Strong engineering fundamentals and communication skills
  • Thoughtful about engineering trade-offs and developing understanding of balancing reliability, latency, cost, quality, and maintainability in production systems
  • Comfort with typed languages and modern backend practices

Nice-to-Haves

  • Experience with TypeScript and Python
  • Interest in practical challenges of operating AI/ML systems including reliability, performance, safety, and cost

Skills

TypeScriptPythonLlm OpsMl OpsBackend SystemsObservabilityMonitoringEvaluation WorkflowsPlatform ApisInfrastructure

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