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 with automation 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.

• Our Commitment to Applicants

• Culture and Values at Zapier

• Zapier Guide to Remote Work

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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.