Sr. Applied AI Engineer

Qualifications

• You have 4+ years of experience in software engineering, including experience building and operating production AI/ML systems. You bring solid engineering fundamentals, good communication skills, and a desire to build reliable systems that others can depend on.
• You have at least 1 year of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work. You’re interested in the practical challenges of operating these systems, including reliability, performance, safety, and cost.
• You have experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers. You enjoy simplifying complex workflows and improving how teams build and ship software.
• You have experience of working through the full lifecycle of building, testing, deploying, and scaling ML/ LLM architectures.
• You are thoughtful about engineering trade-offs and are developing a strong understanding of how to balance reliability, latency, cost, quality, and maintainability in production systems.
• You enjoy working collaboratively and learning from others. You’re excited to partner with more senior engineers and cross-functional teams to build reusable platform capabilities that make AI and ML development easier across the company.
• You embody our values. At Zapier, our values https://zapier.com/jobs/culture-and-values-at-zapier are at the heart of how we work together and how we think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation.
• Contribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier.
• You will work mostly in TypeScript & Python. Experience isn’t strictly required, but it is a big plus. Comfort with typed languages and modern backend practices is a must.
• Help develop and maintain core services such as our LLM proxy server, platform APIs, and reusable tooling that standardize how teams access and operate models in production.
• Build and improve parts of our LLM Ops and ML Ops stack, including observability, monitoring, evaluation workflows, and operational tooling.
• Help design and implement systems that improve the performance, reliability, safety, and cost efficiency of AI-powered 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.
• The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.
• Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource https://docs.google.com/spreadsheets/d/1_lXQvKwuU4xXEbye7EW_En8iv1ZIMlQNmT7B2Mzbo24/edit?gid=0#gid=0 for a list of countries where we currently cannot have Zapiens permanently working.