Staff 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 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.
About Zapier
We're humans who simply think computers should do more work.
At Zapier, we’re building a platform to help millions of businesses scale withautomation and AI. Our mission is simple: make automation work for everyone. As a member of the team, you’ll collaborate with intelligent, curious people, build and apply cutting-edge tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.
Staff Applied AI Engineer, AI Capabilities
About The Role
Zapier is hiring a Staff Applied AI Engineer for our AI Capabilities team, the group responsible for building the shared AI execution platform that powers every AI product at Zapier, including Agents, Chatbots, AI by Zapier, and future orchestration experiences.
This is one of the most foundational engineering roles at Zapier today.
AI Capabilities is unifying the runtimes, tooling, data models, and orchestration layers behind our AI products into a single, reliable, high-quality platform with great ergonomics. We’re building what Zapier’s AI foundation should have been from day one—and we’re delivering it in a way that accelerates all other AI teams.
As the Staff Applied AI Engineer on this team, you’ll bring deep technical expertise in LLMs, orchestration, evaluation, runtime systems, and platform engineering. You’ll help shape our unified architecture, guide tough tradeoffs, elevate our engineering standards, and ensure the platform is scalable, safe, cost-efficient, and easy to build on.
If you want to work on hard AI platform problems that directly impact user-facing products—and you’re energized by building the foundation that other AI-focused teams and millions of users will rely on—you’ll thrive here.
Why this is different (and exciting)
This is a rare opportunity to help build the AI platform behind one of the world’s largest automation ecosystems. The AI Capabilities team empowers every runtime AI product at Zapier; Agents, Chatbots, AI by Zapier, and the orchestration surfaces yet to come.
You’ll work on challenges that matter: making AI reliable, fast, safe, cost-efficient, and easy to build on. Your work will enable product teams to ship smarter features faster, and you’ll see your impact reflected directly in the experiences our customers use to run their businesses.
If you’re excited about high-leverage engineering work that blends platform design, system architecture, and applied AI, this role gives you a front-row seat to shape how intelligent automation gets built at scale.
About You
Proven engineering impact: You’ve driven outcomes in complex, cloud-based systems used by real customers. Bonus: you’ve helped win or expand enterprise deals—leading POCs, navigating security/compliance reviews, or shaping product requirements to land enterprise adoption. Many strong candidates for our Staff roles have 10+ years’ experience. We hire for impact and capability, not years.
LLM expertise: You have at least 2 years or equivalent depth of hands-on work with large language models in production, including user-facing products leveraging agent architectures. You are familiar with transformer networks, attention mechanisms, and their role in generating responses, function calls, and other complex tasks.
Evaluation & retrieval systems: You have direct experience deploying evaluation frameworks for LLMs (performance, reliability, bias) and building Retrieval-Augmented Generation (RAG) systems. You have nuanced perspectives and experience with indexing/chunking strategies, semantic search, and vector databases, and how they differ from traditional retrieval methods.
Builder first: You lead through hands-on contribution—pairing with product teams, unblocking adoption, modeling best practices, and shipping. You execute, not just advise.
Pragmatic judgment over novelty: You separate signal from hype. You’re comfortable saying “not ready for production” (and explaining why), and you partner with product to decide when to keep exploring vs. when to lock down, standardize, and scale—using results from evals, user impact, and clear cost/latency tradeoffs.
You design for scale and ambiguity. You can design systems and solutions in complex, high-scale environments—where priorities are fluid and ambiguity is the norm.
Skilled communicator: You’re known for moving fluidly between pair programming, cross functional problem-solving, and customer discovery. You evaluate long vs. short-term solutions through the lens of speed to impact and cohesion of customer experience. You form trusting relationships and know how to bring others with you.
You are an AI power user. You proactively embrace AI as a core part of your engineering toolkit and are excited to explore new ways it can accelerate learning, development, and operations. You don’t just use AI—you advocate for it, sharing your workflows and helping others level up.
Things You’ll Do
Lead key architectural efforts in our unified AI platform: You’ll help define the orchestrator architecture, shared runtime components, and foundational APIs that bring Chatbots, Agents, AI by Zapier, and future experiences onto one high-quality platform.
Guide high-impact technical decisions across AI Capabilities: You’ll influence choices around orchestration patterns, execution flows, shared tools, memory, safety, and data model design.
Provide technical oversight as we consolidate runtimes: You’ll help navigate the merging of multiple systems into a single orchestrator; balancing reliability, speed, safety, and developer ergonomics.
Partner deeply with product teams across the AI org: You’ll work closely with Agents, Chatbots, AI Tasks, Copilot, and Chat surfaces to support migrations, define interfaces, and translate product needs into platform capabilities.
Mentor engineers and raise the technical bar for AI Capabilities: You’ll share patterns, teach practical AI engineering, and help grow the platform engineering culture on the teams you work with.
Work Hours & Collaboration Expectations
This role is open to candidates globally. Because the majority of our stakeholders, partner teams, and decision-makers are based in North America, this role requires working standard Eastern Time (ET) hours at least three days per week to support real-time collaboration, technical reviews, and cross-functional decision-making.
Outside of those days, you may set your own working hours, provided they support the needs of your team and comply with local labor regulations. We're committed to ensuring this schedule is sustainable and will partner with you during the hiring process to assess feasibility based on your location.
How to Apply
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 code of conduct 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 review our privacy policy here.
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 jobs@zapier.com.
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 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.