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Zapier is hiring for an Applied AI Engineer to help us build the future of automation with AI at its core. If you care about shipping real products, solving hard problems with large language models, and creating tools that help others build faster—this is your kind of role. We’re hiring across teams, each with their own flavor of AI work. You’ll work on things like shared libraries, evaluation systems, orchestration patterns, or user-facing features—depending on the team. What they all have in common: you’ll ship to production, own meaningful problems, and make an impact across the company.
Job Responsibility:
Understand that AI-based applications thrive on data-driven feedback loops
Integrate LLMs into software products at Zapier
Set up necessary infrastructure to ensure performance, scalability, and reliability
Work mostly in Python or TypeScript
Build tooling and infrastructure that enables teams to iterate on AI products faster
Improve the state of cost observability across all teams
Work with individual teams to optimize spend for their products
Monitor the performance and health of AI systems
Collaborate with Data and cross-functional teams to refine and deploy LLM-based features
Requirements:
5+ years of experience in software engineering
At least 3 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 with user-facing agent architectures
Familiarity with underlying technologies like transformer networks and attention mechanisms
Experience deploying evaluation frameworks for LLMs
Experience with Retrieval-Augmented Generation (RAG) systems
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
Experience building with cloud infrastructure technologies
Comfort with typed languages and modern backend practices