Zapier is hiring a Staff Applied AI Engineer for its AI Capabilities team, responsible for building the shared AI execution platform that powers all AI products at Zapier, including Agents, Chatbots, and AI by Zapier. This foundational role involves shaping unified architecture, guiding technical tradeoffs, elevating engineering standards, and ensuring the platform is scalable, safe, cost-efficient, and easy to build on. The work directly impacts user-facing products and accelerates other AI teams.

Must Have

• Lead key architectural efforts in Zapier's unified AI platform.
• Guide high-impact technical decisions across AI Capabilities.
• Provide technical oversight as runtimes are consolidated.
• Partner deeply with product teams across the AI organization.
• Mentor engineers and raise the technical bar for AI Capabilities.
• At least 2 years of hands-on work with large language models in production, including user-facing products leveraging agent architectures.
• Direct experience deploying evaluation frameworks for LLMs (performance, reliability, bias).
• Experience building Retrieval-Augmented Generation (RAG) systems, including indexing/chunking strategies, semantic search, and vector databases.
• Ability to design systems and solutions in complex, high-scale environments where priorities are fluid and ambiguity is the norm.
• Skilled communicator, moving fluidly between pair programming, cross-functional problem-solving, and customer discovery.
• Proactively embrace AI as a core part of your engineering toolkit and advocate for its use.

Good to Have

• Helped win or expand enterprise deals, leading POCs, navigating security/compliance reviews, or shaping product requirements to land enterprise adoption.

Perks & Benefits

• Offers Equity
• Offers Bonus

Staff Engineer, Applied AI

Location

NAMER, EMEA

Employment Type

Full time

Location Type

Remote

Department

AI Strategy & Expansion

Compensation

• United StatesBase Salary $274.8K – $412.2K • Offers Equity • Offers Bonus
• CanadaBase Salary $274.8K – $412.2K • Offers Equity • Offers Bonus
• UKBase Salary £157.2K – £235.8K • Offers Equity • Offers Bonus
• Ireland & SpainBase Salary €162.6K – €244K • Offers Equity • Offers Bonus

We believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:

• Competitive: Zapier pays well among the technology sector.
• Equitable: Consistent pay practices; Pay for impact
• Simple: Pay is well understood, and pay practices are built for scale.
• Transparent: Zapiens know how pay works, including how their pay is determined.

A Candidate's compensation package is finalized once the interview process is concluded and accounts for demonstrated experience, job knowledge, skills, abilities, and internal equity. We use a business impact approach to base pay, which means we set pay for all Zapiens based on their demonstrated impact on Zapier’s success. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high impact in their current role and level while at Zapier.

For more information on Zapier’s Total Rewards please click here

.

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
• Zapier Code of Conduct
• Diversity and Inclusivity at Zapier

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.

Compensation Range: $274.8K - $412.2K

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