Applied AI Engineer

About Zapier's Applied AI Engineer Role

At Zapier, we build and use automation every day to make work more efficient, creative, and human. We are hiring for an Applied AI Engineer to help build the future of automation with AI at its core. If you enjoy shipping real products, tackling hard problems with large language models, and creating tools that accelerate development, this role is for you.

Responsibilities

You will integrate LLMs into production software products, develop shared libraries, design evaluation systems, build orchestration patterns, and create user-facing features. The role involves working in Python or TypeScript, building tooling that enables faster iterations on AI products, and collaborating with data and cross-functional teams. Monitoring performance, ensuring scalability, and optimizing cost efficiencies are integral parts of the role.

About You

The ideal candidate has over 5 years of software engineering experience, with at least 3 years in building distributed, cloud-based applications. You have at least 1 year of experience with large language models, understanding technologies like transformer networks and attention mechanisms, and have deployed evaluation frameworks along with experience in Retrieval-Augmented Generation systems. You value customer experience and can document trade-offs while delivering scalable, production-ready code.

Additional Role Details

This role is tailored to the candidate, emphasizing full-stack engineering abilities including frontend exposure. Emphasis is placed on continuous improvement, responsible AI tool usage, and culturally aligned remote collaboration.

Key skills/competency

• Automation
• Large language models
• Cloud architecture
• Python
• TypeScript
• Distributed systems
• Data feedback loops
• Evaluation frameworks
• Cost optimization
• Cross-functional collaboration