Senior Applied AI Engineer, Zapier
$231.8-347.7k
Canada Base Salary: CA$231.8K – CA$347.7K, Spain Base Salary: €135.9K – €203.8K, United Kingdom Base Salary: £132.5K – £198.8K. +Equity and Bonus
More information about location
Workflow automation service
Be an early applicant
Workflow automation service
501-1000 employees
Be an early applicant
$231.8-347.7k
Canada Base Salary: CA$231.8K – CA$347.7K, Spain Base Salary: €135.9K – €203.8K, United Kingdom Base Salary: £132.5K – £198.8K. +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
- You have 7+ years of experience in software engineering, with at least 3 of those years dedicated to building distributed, scalable, cloud-based ML/AI systems in production environments
- You have strong communication skills, sound engineering judgment, and a track record of building reliable systems that other engineers depend on
- You have at least 2 years of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work
- You’re excited by problems like model access, inference reliability, observability, experiment management, evaluations, deployment workflows, governance, and production monitoring
- You have experience building shared services, internal platforms, or reusable developer tooling that enable other teams to move faster
- You enjoy creating strong abstractions, reducing duplication, and improving standards across an organization
- You have experience of working through the full lifecycle of building, testing, deploying, and scaling ML/ LLM architectures
- You can identify and document trade-offs made during the development of AI/ML systems. You also have experience building with cloud infrastructure technologies
- You love enabling others. You’re energized by building infrastructure and tooling that make product engineers and ML practitioners more effective
- You think deeply about developer experience and know that the best platforms are both powerful and easy to adopt
- 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
- 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:
What the job involves
- We’re thrilled to invite you to join Zapier’s AI Platform team as a Sr. Applied AI Engineer!
- 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
- Build and evolve shared AI Platform capabilities that serve as the foundation for 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
- Improve our LLM Ops and ML Ops capabilities, including observability, monitoring, evaluation, deployment workflows, and operational guardrails
- Design and implement systems that help teams measure and improve the performance, reliability, safety, and cost efficiency of AI-powered experiences
- 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
- 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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