Engineer, Applied AI

Ovii's Interpretation of the Role

Zapier is looking for an Applied AI Engineer to build and maintain the shared AI platform that powers LLM and ML workflows across the company. The role is fully remote and centers on backend, observability, and tooling for production‑grade AI systems.

Role Snapshot

• Applied AI Engineer
• Remote, full‑time
• Platform & infrastructure focus
• 4+ years software engineering
• LLM Ops / ML Ops experience

Must-Have Requirements

• Typed language proficiency (e.g., TypeScript, Python)
• Backend engineering fundamentals
• LLM Ops / ML Ops experience
• software engineering
• production AI/ML systems
• LLM Ops
• ML Ops

Nice-to-Have Signals

• Observability and monitoring tooling
• Platform API and reusable tooling experience
• Familiarity with generative AI models
• Knowledge of cost, safety, and reliability trade‑offs
• backend systems
• developer tooling
• platform infrastructure

Work Setup

• Location: San Francisco, United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States, NAMER
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Relocation
• Security clearance
• Coding test

What You'll Likely Work On

• Design and maintain core services such as the LLM proxy server and platform APIs
• Build and enhance LLM Ops and ML Ops components (observability, monitoring, evaluation workflows)
• Create reusable tooling that standardizes model access and operation for engineering teams
• Improve performance, reliability, safety, and cost efficiency of AI‑powered experiences
• Collaborate with product, infrastructure, and data engineers to ensure platform usability and documentation
• Assess emerging AI models and tools for incorporation into the shared platform

Good Fit If You Have

• Enjoys simplifying complex workflows for other engineers
• Strong communication and collaboration skills
• Passionate about reliable, production‑grade AI systems