Automation that moves everyone forward. 

Zapier is on a mission to make automation work for everyone. With Zapier, you can integrate apps like Salesforce, Intuit, Google, and Dropbox, to move data between them automatically, so you can focus on your most important work.

Zapier

Are you excited about building the AI foundation that powers real product experiences? We’re thrilled to invite you to join the 

As a key member of our team, you’ll be at the heart of our efforts to make AI a core part of every Zapier product. You’ll help design and build the reusable building blocks—like LLM-powered APIs, vector search services, orchestration libraries, and evaluation tooling—that enable teams across the company to create AI agent experiences quickly and safely.

This is your chance to shape how AI is implemented at Zapier—from the raw data and infrastructure to the user-facing product experiences. You’ll collaborate with AI Engineers, Product teams and Machine Learning Engineers to make sure our AI capabilities are scalable, reliable, and easy to use. Your work will have massive impact across the entire organization.

If you’re passionate about large language models (LLMs), love building powerful developer tools, and want to help bring intelligent automation to millions of users, 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…

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 5 of those years dedicated to building distributed, scalable cloud based web applications. You possess strong communication skills, problem-solving abilities, and a drive to deliver outstanding customer experiences for both external users and internal stakeholders.

You have at least 1 year of experience working with large language models (LLMs)

. You experimented with build user facing leveraging agent architectures.

with underlying technologies like transformer networks, attention mechanisms, and how they contribute to models’ abilities to generate coherent responses, generate function calls, and perform other language tasks.

You have likely deployed evaluation frameworks

 for LLMs, with an understanding on performance, reliability, and bias assessment.

You likely have experience with Retrieval-Augmented Generation (RAG) 

systems and understand how to optimize knowledge retrieval for improved model accuracy and speed. You likely have experience with different indexing and chunking strategies based on the system’s data and goals, as well as semantic search and vector databases, and how they differ from traditional retrieval methods and databases.

 of working through the full lifecycle of building, testing, deploying, and scaling LLM architectures.

trade-offs made during the development process. You also have experience building with cloud infrastructure technologies.

You’ll be on a team focused on understanding customers' needs and translating those needs from specifications into functional, production-ready code. You know how to balance speed versus quality to support the features we build for our

 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 foundational AI tooling—like reusable frontend and backend components for AI agent experiences, observability mechanisms and evaluation tooling.

. Experience isn’t strictly required, but it is a big plus. Comfort with typed languages and modern backend practices is a must.

Design and implement data-driven feedback loops to monitor and improve the performance, reliability, and safety of agent systems at scale.

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.

Experiment with emerging LLMs and retrieval strategies, helping the team evaluate when to fine-tune, swap models, or adjust orchestration logic.

Difference between an Applied AI Engineer and an ML Engineer at Zapier:

How do we discern between other AI-forward engineering roles like ML Engineers and Applied AI Engineers? Both roles benefit from backend engineering skills and experience with LLMs.

ML engineers are expected to have more experience building data pipelines as well as experience utilizing other types of ML models beyond LLMs.

AI engineers are expected to have more full stack engineering experience, which would typically include frontend experience, and may only have experience working with LLMs.

At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.

Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.

After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!

Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our 

 provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.

Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can 

Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact 

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

 for a list of countries where we currently cannot have Zapiens permanently working.

Full Time

Sr. Applied AI Engineer

We're humans who simply think computers should do more work.

, we’re not just making software—we’re building a platform to help millions of businesses globally scale 

. Our mission is to make automation work for everyone by delivering products that delight 

. You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel 

We're looking for an Interactive Designer to join the Brand Studio team at Zapier. The Brand Studio team is responsible for ensuring that Zapier delivers high-quality brand experiences through our customer’s journey.

We recently rolled out a refreshed brand system that better positions Zapier for Enterprise audiences and doubles down on what makes our brand unique. You’ll have an exciting opportunity to help us evolve our new brand system and make

 an engaging, best-in-class marketing site.

The Senior Brand Designer, Interactive will be part of the team responsible for the design of our marketing website experience. This includes everything from our core marketing pages to bespoke brand advertising experiences. This role requires strong visual communication, a love of designing for web, experience building in no-code web tools, and a systems mindset to build scaleable systems across the entire company.

If you're eager to lead high-impact projects at a fast-growing, profitable, and remote-first company, read on!

You're a well-rounded brand designer with strong visual craft and cross-functional range. 

While web is your core focus, you're comfortable flexing into campaign, ad, or general brand work when needed—adapting your skills across formats while keeping the brand sharp and cohesive.

You have a strong interactive sensibility.

 You understand how to design for the web in ways that are intuitive, accessible, performant and engaging. You keep up with best practices and love making things that feel modern and alive.

 You're proactive, resourceful, and energized by ownership. You don’t wait for perfect processes or direction—you take initiative, shape the work, and help others do the same.

You're excited about the opportunity to push a new brand system forward.

 We've recently completed a brand refresh better positioning us for our Enterprise audience, and this role is central to evolving and expressing that system across our marketing site and other touchpoints.

 You care about what performs, not just what looks good. You use customer research, analytics, and A/B testing to inform your design decisions and improve conversion across key web surfaces.

 Whether you're building in Framer or collaborating closely with engineers, you understand what's feasible and how to design for implementation. You care about final polish and know how to get it right.

You have hands-on experience with modern website builders

 like Framer, BuilderIO Webflow, or comparable tools—and know how to design efficiently within their constraints.

You're confident experimenting with AI and automation tools

 to accelerate production and scale your design output. You have a point of view on which tools work well, and a track record of integrating them into your workflow effectively

 and can manage your own time. You know how to take a broad brief, set direction, and drive it forward. You're self-directed but collaborative, and comfortable navigating a fast-moving environment.

 You clearly explain your thinking, ask good questions, and seek input early and often. You know how to align cross-functional partners, and you're generous with feedback and collaboration.

Collaborate closely with our Brand Design Manager, Producers, the rest of Brand Studio, and partners across Product Marketing, Demand Gen, Life Cycle and Engineering to launch high-impact marketing web pages and campaigns

Take ownership of part of our marketing site, which could include our Product Pages, AI Page or Campaign experiences; owning the strategy, design, and development of those pages.

Push the Zapier brand forward as we continue to apply our Enterprise brand refresh to the rest of the customer journey. This will look helping us bring more motion, experimentation, and distinctiveness to how the brand system shows up on web

Flex into adjacent brand and campaign work as needed, contributing to ads, social, or broader marketing initiatives that benefit from your design expertise

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