Applied AI Engineer at Zapier

This role is designed for a seasoned Software Engineer with at least 5 years of experience who has spent the last year specifically deploying LLMs into production. You should have a strong background in building distributed, scalable cloud applications and a deep understanding of RAG systems, agent architectures, and evaluation frameworks. Unlike a traditional ML Engineer, this position leans more toward "full-stack" implementation and product delivery using Python or TypeScript. As a fully remote position (NAMER region), Zapier offers high flexibility and a culture that values shipping real-world products. You will have a significant impact on how AI is integrated across the entire platform, working on everything from shared libraries to cost observability and orchestration patterns. The company is notably transparent, promising consistent communication throughout the hiring process and valuing "responsible" AI usage. **You might be a good fit if you...** * Have 5+ years of software engineering experience and 1+ year working specifically with LLMs in production. * Are comfortable with "Applied" AI—focusing more on building features and infrastructure than on training raw models or data pipelines. * Understand technical nuances like transformer networks, semantic search, and vector databases. * Prioritize shipping functional code and can effectively balance speed with system reliability.