Engineer, Applied AI

AI at Zapier

At Zapier we build and use automation every day to make work more efficient creative and human. So if youre using AI tools while applying here - thats great! We just ask that you use them responsibly and transparently.

Check out our guidance on How to Collaborate with AI During Zapiers Hiring Process including how to use AI tools like ChatGPT Claude Gemini or others during our hiring process - and when not to.

Hi there!

Are you excited about building the platform that makes AI and machine learning development faster safer and more reliable across an entire company Were thrilled to invite you to join Zapiers AI Platform team as an Applied AI Engineer!

As a key member of this team youll help build and evolve the shared infrastructure that powers AI and ML development across Zapier. The AI Platform team owns the common foundations that product and engineering teams rely on when building with machine learning and generative AI - including systems like our LLM proxy server observability tooling and ML Ops platform capabilities.

This is a highly leveraged role. Rather than building a single end-user feature youll create the core systems tooling and standards that many teams use as their baseline for shipping intelligent products and internal AI-powered workflows. Youll work at the intersection of platform engineering applied AI and developer experience to make it easier for teams across Zapier to build with LLMs and ML systems in a scalable secure and production-ready way.

Your work will focus heavily on LLM Ops and ML Ops: improving how models are accessed monitored evaluated deployed governed and operated in production. Youll help define the paved road for teams building with AI at Zapier.

If youre passionate about large language models machine learning systems developer platforms and building tools that help other engineers move faster wed love to meet you!

If youre interested in advancing your career at a fast-growing profitable impact-driven company then read on

• Our Commitment to Applicants

• Culture and Values at Zapier

• Zapier Guide to Remote Work

• Zapier Code of Conduct

• Diversity and Inclusivity at Zapier

Even though our job description may seem like were looking for a specific candidate the role inevitably ends up tailored to the person who applies and joins. Regardless of how well you feel you fit our description we encourage you to apply if you meet these criteria:

About You

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. Youre 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. Youre 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 are at the heart of how we work together and how we think about our our remote setting they help develop trust and ensure we work and collaborate to democratize automation.

Things Youll Do

• 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 isnt 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 Zapiers shared platform.

Application Deadline:

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 were an all-remote company we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

Required Experience:

IC