Engineer, Fullstack (Editor AI) ID-8420
About the role
Hi there!
We’re looking for a Fullstack Developer with strong back-end experience to join our Editor AI team at Zapier. In this role you will help build and evolve the Editor AI product and platform by coming up with new AI-based capabilities for the Editor and maintaining and enhancing the existing capabilities.
Editor AI was formed in May of 2023 and has gained significant visibility for delivering the Editor Copilot functionality, and other AI-based functionality, and is a key part of the “AI Assist - Build” bet for Zapier in 2025. While you don’t need to have prior AI or LLM experience, we are looking for someone with an interest in learning about LLMs and ML operations.
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If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…
ABOUT YOU
You have 3-5 years of experience developing production systems, which includes at least 1 year of frontend development experience. You've dedicated at least 2 of those years to crafting and refining web-based software products. While you may have used a variety of languages, you have at least 1 full year of experience in Javascript/TypeScript.
Required Technical Skills/Experience:
- You have at least 2+ years of experience working with large-scale systems or platforms, including system design and architecture experience. You have experience as a developer on a products/platform engineering team.
- You have at least 1+ years of experience with AWS services - preferably both compute and data storage services.
- You have experience in triaging stakeholder/customer requests and propose plans and priority, focusing on delivering value to end-users.
- You have experience building release plans, rollouts, and refactoring to improve mature systems and codebases without significant breaking changes.
- You’re curious about AI. You’re excited about leveraging new technologies to streamline workflows and enhance the developer experience.
Nice-to-Have Skills/Experience:
- You have experience building or maintaining front-end applications in React & NextJS.
- You have some experience with Python.
- You have experience experience with service metric collection, visualization, monitoring, & alerting practices.
- You have experience with Databricks.
- You have excellent written communication and a collaborative mindset. Unafraid to ask questions, but doesn’t wait to try and answer themselves.
- You thrive in a collaborative environment and enjoy working across multiple codebases.
- You’re passionate about quality-focused development and doing things efficiently. You write clean, maintainable code, with a focus on documentation, testing, and automation. You balance addressing technical debt with shipping production-ready code.
- You value 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 together to democratize automation.
THINGS YOU’LL DO
- Work to Improve our AI-assisted Functionalities: Develop new ways to use AI/LLM technologies to allow our customers to create, maintain, enhance and debug Zaps.
- Collaborate with Product and Design Teams: Work in unison with our product, design, and UX teams to envisage and develop AI-assisted functionalities with intuitive user experiences.
- Keep up to date on the latest AI/LLM technologies: Use the most recent models and APIs to ensure that our AI-based functionalities are as innovative and magical as possible.
- Run User Engagement Experiments: Deploy various techniques and analyze their efficacy in keeping users engaged, always striving for optimization.
- Monitor System Health: Regularly check system reliability and performance, ensuring high availability and optimal user experience.
- Resolve Bugs and Address Feature Requests: Dive deep into any reported issues, ensuring they're resolved promptly, and constantly look for areas of improvement based on user feedback.
- Collaborate Across Teams: Engage with various teams and stakeholders throughout Zapier, including troubleshooting support and customer challenges, usually to build system- and team-spanning AI functionalities.
