Sr. Applied AI Engineer

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

Check out our guidance on How to Collaborate with AI During Zapier’s 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? We’re thrilled to invite you to join Zapier’s AI Platform team as a Sr. Applied AI Engineer!

As a key member of this team you’ll 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 you’ll create the core systems tooling and standards that many teams use as their baseline for shipping intelligent products and internal AI-powered workflows. You’ll 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. You’ll help define the paved road for teams building with AI at Zapier.

If you’re passionate about large language models & machine learning developer platforms operational excellence and building the systems that make AI usable at scale we’d love to meet you!

If you’re 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 we're 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:

You have 7+ years of experience in software engineering with at least 3 of those years dedicated to building distributed scalable cloud-based ML/AI systems in production environments. You have strong communication skills sound engineering judgment and a track record of building reliable systems that other engineers depend on.

You have at least 2 years of experience in LLM Ops ML Ops or adjacent platform/infrastructure work. You’re excited by problems like model access inference reliability observability experiment management evaluations deployment workflows governance and production monitoring.

You have experience building shared services internal platforms or reusable developer tooling that enable other teams to move faster. You enjoy creating strong abstractions reducing duplication and improving standards across an organization.

You have experience of working through the full lifecycle of building testing deploying and scaling ML/ LLM architectures.

You can identify and document trade-offs made during the development of AI/ML systems. You also have experience building with cloud infrastructure technologies.

You love enabling others. You’re energized by building infrastructure and tooling that make product engineers and ML practitioners more effective. You think deeply about developer experience and know that the best platforms are both powerful and easy to adopt.

You embody our values. At Zapier our values 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.

• Build and evolve shared AI Platform capabilities that serve as the foundation for 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.

• Improve our LLM Ops and ML Ops capabilities including observability monitoring evaluation deployment workflows and operational guardrails.

• Design and implement systems that help teams measure and improve the performance reliability safety and cost efficiency of AI-powered experiences.

• Proactively identify tooling gaps and work across teams to standardize best practices for building deploying and monitoring AI-driven 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 for a list of countries where we currently cannot have Zapiens permanently working.

What We Do

Founded in 2011 Zapier is the world’s most connected AI Orchestration platform. By connecting over 8000 of the most popular work apps Zapier empowers its users to make the most of the tools they already use—and to focus on what matters most and ultimately make automation work for everyone. With teammates spanning 40+ countries around the world we're fully remote forever.

Why Work With Us

At Zapier we push boundaries with AI and automation to build products that delight our customers. You’ll collaborate with brilliant people use the latest tools and leverage the flexibility of remote work. Your work will directly fuel our customers’ success and as they grow so will you.

Gallery