Sr. Applied AI Engineer, Canvas

A platform helping millions of businesses scale with automation and AI, making automation work for everyone.
$206,600 - $309,800
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
6+ years of experience
AI · Enterprise SaaS

Description For Sr. Applied AI Engineer, Canvas

Zapier is seeking a Senior Applied AI Engineer to join their Canvas team, focusing on building and enhancing AI-powered automation solutions. This role combines cutting-edge AI technology with practical business applications, working on Canvas - Zapier's platform for visually designing and automating business workflows. The position requires expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and API design. The ideal candidate will have 6+ years of software engineering experience, with at least 2 years in AI/ML systems.

The role involves building AI systems that help users create complex automations with minimal effort, optimizing RAG pipelines, and developing tools for AI performance monitoring. You'll work closely with product managers and designers to deliver features that solve real customer problems. The position offers the opportunity to work remotely with a competitive salary range of $206,600 - $309,800, plus equity and bonus potential.

This is an ideal role for someone who thrives at the intersection of AI and practical user impact, enjoys solving ambiguous problems, and can balance technical depth with product thinking. The successful candidate will be responsible for advancing AI Assist capabilities, developing RAG systems, and creating frameworks for continuous AI improvement. You'll be working in a fast-paced, collaborative environment where independence and initiative are valued.

The role requires strong communication skills and the ability to work across multiple technical domains. You'll be contributing to a platform that helps millions of businesses scale through automation and AI, making a direct impact on customer success. Zapier offers a flexible remote work environment, competitive compensation, and the opportunity to work with cutting-edge AI technologies in a practical, customer-focused context.

Last updated an hour ago

Responsibilities For Sr. Applied AI Engineer, Canvas

  • Build and optimize systems that leverage AI to dynamically generate multi-product workflows
  • Design and enhance retrieval-augmented generation pipelines
  • Collaborate with product managers, UX designers, and AI/ML specialists
  • Architect and implement scalable APIs
  • Develop tools and frameworks to evaluate AI performance
  • Create systems to gather user interaction data
  • Partner with other engineering teams for system-wide improvements

Requirements For Sr. Applied AI Engineer, Canvas

Python
  • 6+ years of professional experience in software engineering, with at least 2 years focused on AI/ML systems
  • Deep understanding of LLMs, including advanced prompting techniques and fine-tuning
  • Experience designing and optimizing RAG systems
  • Expertise in handling LLM limitations and bias control
  • Strong understanding of graph-based and relational database models
  • Experience with API design and lifecycle management
  • Experience creating systems that capture and synthesize user interactions

Benefits For Sr. Applied AI Engineer, Canvas

Equity
  • Competitive salary
  • Equity compensation
  • Performance bonus
  • Remote work flexibility

Interested in this job?

Jobs Related To Zapier Sr. Applied AI Engineer, Canvas

Applied AI Engineer

Senior AI Engineering role at Zapier focusing on implementing LLMs and automation systems, offering competitive compensation and remote work flexibility.

Senior Software Engineer, Machine Learning

Senior ML Engineer role at Sift, building AI-powered fraud prevention systems, offering competitive pay, equity, and remote work.

Senior AI/ML Engineer

Senior AI/ML Engineer role at Landeed, building cutting-edge machine learning models for property title search and document intelligence features.

Software Engineer (Applied AI)

AI Software Engineer role at Embedded Medical, focusing on LLM implementation and full-stack development for healthcare technology.

Sr. Machine Learning Engineer, AGIF | Finetuning

Senior Machine Learning Engineer position at Amazon's AGI Finetuning team, focusing on developing and maintaining AI model evaluation systems.