Sr. Applied AI Engineer

Overview

Job Description

Responsibilities

• - Build and evolve shared AI Platform capabilities that serve as the foundation for teams building with machine learning and generative AI across Zapier.
• - Improve our LLM Ops and ML Ops capabilities, including observability, monitoring, evaluation, deployment workflows, and operational guardrails.
• - Design and implement systems that help teams measure and improve the performance, reliability, safety, and cost efficiency of AI-powered experiences.
• - Proactively identify tooling gaps and work across teams to standardize best practices for building, deploying, and monitoring AI-driven experiences.
• - Collaborate closely with engineers across product, infra, and data teams to ensure our 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.

Required Skills

• - 7+ years of experience in software engineering, with at least 3 years dedicated to building distributed, scalable, cloud-based ML/AI systems in production environments.
• - Strong communication skills, sound engineering judgment, and a track record of building reliable systems that other engineers depend on.
• - At least 2 years of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work.
• - Experience building shared services, internal platforms, or reusable developer tooling that enable other teams to move faster.
• - Experience of working through the full lifecycle of building, testing, deploying, and scaling ML/LLM architectures.
• - Experience building with cloud infrastructure technologies.
• - Comfort with typed languages and modern backend practices.

Benefits

• - Offers Equity
• - Offers Bonus