Zapier is hiring a Sr. Applied AI Engineer

Zapier is hiring a Sr. Applied AI Engineer to build the foundational tooling and reusable building blocks that make AI a core part of every Zapier product. You'll design and implement scalable, reliable AI capabilities to enable AI agent experiences across the company.

What You'll Do

• Build foundational AI tooling, including reusable frontend and backend components for AI agent experiences, observability mechanisms, and evaluation tooling.
• Design and implement data-driven feedback loops to monitor and improve the performance, reliability, and safety of agent systems at scale.
• 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 AI components are reusable, well-documented, and easy to adopt company-wide.
• Experiment with emerging LLMs and retrieval strategies, evaluating when to fine-tune, swap models, or adjust orchestration logic.

What We're Looking For

• 7+ years of experience in software engineering.
• 5+ years dedicated to building distributed, scalable cloud-based web applications.
• Strong communication skills, problem-solving abilities, and a drive to deliver outstanding customer experiences.
• At least 1 year of experience working with large language models (LLMs) to perform complex tasks in production environments.
• Experience building user-facing applications leveraging agent architectures.
• Familiarity with underlying technologies like transformer networks and attention mechanisms.
• Experience deploying evaluation frameworks for LLMs, with an understanding of performance, reliability, and bias assessment.
• Experience with Retrieval-Augmented Generation (RAG) systems and optimizing knowledge retrieval.
• Experience with different indexing and chunking strategies, semantic search, and vector databases.
• Experience working through the full lifecycle of building, testing, deploying, and scaling LLM architectures.
• Ability to identify and document trade-offs made during the development process.
• Experience building with cloud infrastructure technologies.
• Focus on understanding customers' needs and translating specifications into production-ready code.
• Ability to balance speed versus quality.

Nice to Have

• Experience with TypeScript.
• Comfort with typed languages and modern backend practices.

Technical Stack

• TypeScript
• LLMs
• Vector databases

Team & Environment

You'll be part of the Data AI/ML team, collaborating closely with AI Engineers, Product teams, and Machine Learning Engineers.

Work Mode

This is a global position open to candidates in the Americas and EMEA regions.

Zapier is an equal-opportunity employer and does not discriminate based on someone's identity in any aspect of hiring or employment as required by law.