Applied AI Engineer, Zapier
$191.5-287.3k
Canada Base Salary: CA$191.5K – CA$287.3K, Spain Base Salary: €102.1K – €153.1K, United Kingdom Base Salary: £109.4K – £164.2K. +Equity and Bonus
More information about location
Workflow automation service
Job no longer available
Workflow automation service
501-1000 employees
Job no longer available
$191.5-287.3k
Canada Base Salary: CA$191.5K – CA$287.3K, Spain Base Salary: €102.1K – €153.1K, United Kingdom Base Salary: £109.4K – £164.2K. +Equity and Bonus
More information about location
501-1000 employees
Company mission
Zapier's mission is to Make Automation Work for Everyone!
Role
Who you are
- If you’re passionate about large language models, machine learning systems, developer platforms, and building tools that help other engineers move faster, we’d love to meet you!
- 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 4+ years of experience in software engineering, including experience building and operating production AI/ML systems. You bring solid engineering fundamentals, good communication skills, and a desire to build reliable systems that others can depend on
- You have at least 1 year of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work. You’re interested in the practical challenges of operating these systems, including reliability, performance, safety, and cost
- You have experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers. You enjoy simplifying complex workflows and improving how teams build and ship software
- You have experience of working through the full lifecycle of building, testing, deploying, and scaling ML/ LLM architectures
- You are thoughtful about engineering trade-offs and are developing a strong understanding of how to balance reliability, latency, cost, quality, and maintainability in production systems
- You enjoy working collaboratively and learning from others. You’re excited to partner with more senior engineers and cross-functional teams to build reusable platform capabilities that make AI and ML development easier across the company
- 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
What the job involves
- 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
- Contribute to shared AI Platform capabilities that support 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
- Help develop and maintain core services such as our LLM proxy server, platform APIs, and reusable tooling that standardize how teams access and operate models in production
- Build and improve parts of our LLM Ops and ML Ops stack, including observability, monitoring, evaluation workflows, and operational tooling
- Help design and implement systems that improve the performance, reliability, safety, and cost efficiency of AI-powered 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
Our take
Even before remote working became the "in thing", freelancers, small business owners, and large organisations have found themselves needing more and more software platforms to serve their operational needs. As people used more software services, Zapier founders saw the need to connect the actions between these software and save everyone some time.
Zapier is the largest integration and automation tool for businesses. Since its founding, Zapier has grown its suite of automation offerings across almost every mainstream software service. The company is one of the most successful to come out of Y Combinator and has also been a pioneer of remote working.
Zapier has so far been able to capitalise heavily on its advantage as one of the first entrants and has had very little actual competition. Software services aren't going anywhere anytime soon, and organisations are only going to need more of them. This puts Zapier in a strong position for growth, but also opens up room for bolder companies to get in on the action. Companies like Airtable and Integromat are already preying on more niche segments of Zapier's market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (2 rounds)
Oct 2012
$1.3m
SEED
Sep 2012
$0.2m
SEED
Total funding: $1.5m
Company benefits
- Work from anywhere
- Bonus program
- Unlimited vacation policy
- Great healthcare + dental + vision coverage*
- Retirement plan with company match*
- Stock options for every Zapien**
- 2 annual company retreats to awesome places
- 14 weeks paid leave for new parents
- Home office setup stipend
- Professional development allowance
Additional info
- As a fully remote company with 800+ team members across 40+ states, 38 countries, and 18+ timezones, we’ve adopted a culture of asynchronous work. This work style allows teams to collaborate effectively across locations, time zones, skills, and each individual’s energy levels, and empowers employees to work in a setting that fits their needs. In practice, we live on Slack, with most conversations in public channels. It mimics the open-office feel and allows everyone to search the chat logs if they need to find something that happened when they weren’t around
Leadership
Wade Foster
(Co-Founder & CEO)Prior to co-founding Zapier, wasEmail Marketing Manager with Veterans United Home Loans, and Customer Development Lead at The Idea Works.
Bryan Helmig
(Co-Founder & CTO)Was previously Product Dev/Manager at Veterans United Home Loans.
Mike Knoop
(Co-Founder)Was CPO and Head of Labs at Zapier before becoming President. Previously was a Graduate Research at the University of Missouri.
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