Applied AI Engineer

Zapier

Applied AI Engineer developing key infrastructure for AI and ML systems. Collaborating with teams across Zapier to enable scalable AI product development.

Posted 6/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $191,500 - $287,300 per yearWebsite

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

Contribute to shared AI Platform capabilities supporting teams building with machine learning and generative AI
Work mostly in TypeScript & Python
Help develop and maintain core services such as the LLM proxy server, platform APIs, and reusable tooling
Build and improve parts of the LLM Ops and ML Ops stack
Help design and implement systems improving performance, reliability, safety, and cost efficiency of AI-powered experiences
Collaborate closely with engineers across product, infra, and data teams
Evaluate emerging tools, models, and patterns in the AI ecosystem

Requirements

What you’ll need

4+ years of experience in software engineering
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 of working through the full lifecycle of building, testing, deploying, and scaling ML/LLM architectures
Thoughtful about engineering trade-offs in production systems.
Enjoy working collaboratively and learning from others

Benefits

Comp & perks

Offers Equity
Offers Bonus

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

TypeScriptPythonLLM OpsML Opsbackend systemsdeveloper toolinginternal platformsbuilding ML architecturestesting ML architecturesdeploying ML architectures

Soft Skills

collaborationlearningthoughtful engineeringcommunicationproblem-solving