Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now!
Zapier
Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now!
Job Description
Applied AI Engineer at Zapier: Build the Future of Automation
Role Overview
Zapier is revolutionizing work automation by placing AI at its core, and we're seeking a talented Applied AI Engineer to join our innovative team. This senior-level role offers the chance to ship real products that leverage large language models (LLMs), agent architectures, and advanced techniques like Retrieval-Augmented Generation (RAG). Working remotely across NAMER (North America), you'll tackle challenging problems in distributed systems, evaluation frameworks, and user-facing AI features.
Our Applied AI Engineers don't just experiment—they deliver production-ready solutions that scale. Whether you're optimizing transformer networks, building semantic search with vector databases, or orchestrating complex LLM workflows, your work will impact millions of users automating their workflows. With 5+ years of software engineering experience required, this position is perfect for seasoned professionals passionate about AI production deployment and customer impact.
At Zapier, roles evolve with the talent we hire. Even if you don't match every bullet point perfectly, apply if you thrive in fast-paced environments shipping code that matters. Explore how AI engineers at Zapier are collaborating with AI responsibly during our hiring process.
Key Responsibilities
As an Applied AI Engineer, your day-to-day will involve hands-on development of cutting-edge AI systems. Here's what you'll be doing:
- Architect and implement scalable LLM-powered automation features integrated into Zapier's platform.
- Design RAG systems with advanced indexing, chunking, and semantic search to boost model accuracy and response speed.
- Build comprehensive evaluation frameworks measuring LLM performance, reliability, hallucination rates, and bias.
- Develop agentic architectures enabling LLMs to handle multi-step tasks and function calling in production.
- Deploy, monitor, and scale LLM inference pipelines using cloud infrastructure like AWS SageMaker or GCP Vertex AI.
- Optimize transformer models and attention mechanisms for specific automation use cases like code generation and data extraction.
- Integrate vector databases (Pinecone, Weaviate) for efficient knowledge retrieval in enterprise workflows.
- Collaborate with product teams to translate user needs into AI specifications and ship shared libraries/orchestration patterns.
- Conduct experiments with prompt engineering, fine-tuning, and distillation for cost-effective production models.
- Document trade-offs in model selection, latency vs. accuracy, and infrastructure choices for team alignment.
- Ensure high availability and fault tolerance in distributed AI systems serving global customers.
- Contribute to open-source AI tools and internal best practices for LLM development at Zapier.
- Balance rapid iteration with robust testing to deliver features that drive customer adoption.
These responsibilities highlight the breadth of impact: from core infrastructure to delightful user experiences powered by AI.
Qualifications
We're looking for engineers who bring proven expertise in production AI. Key qualifications include:
- 5+ years software engineering with 3+ years in distributed, scalable cloud web apps.
- 1+ year production experience with LLMs, including agent architectures for user-facing apps.
- Strong grasp of transformers, attention, and LLM mechanics for generation/function calling.
- Hands-on deployment of LLM evals for performance/reliability/bias.
- RAG expertise: indexing/chunking, vector DBs, semantic vs. traditional search.
- Full lifecycle ownership: build/test/deploy/scale LLM systems.
- Cloud infra proficiency (Kubernetes, serverless, etc.) and trade-off documentation.
- Customer obsession: shipping code that solves real problems fast.
Bonus: Experience with Zapier-like automation, MLOps tools (LangChain, LlamaIndex), or multimodal LLMs.
Salary & Benefits
Competitive compensation reflects senior expertise: $180,000–$260,000 USD base (plus equity, bonuses). Total comp varies by experience/location.
- Unlimited PTO with recharge encouragement.
- Top-tier health/dental/vision coverage.
- 401(k) match + stock options.
- Fully remote, flexible NAMER hours.
- $1,500 home office stipend.
- 16 weeks parental leave.
- Professional growth budget.
- Wellness/fitness reimbursements.
- Company retreats + volunteer PTO.
- Mental health resources.
Why Join Zapier?
Zapier isn't just another company—it's where automation meets AI innovation. Our 100% remote culture empowers you to do your best work anywhere. With millions of users relying on our platform, your AI contributions scale massively.
Enjoy ownership from day one, paired with collaborative teams. We value transparency (even encouraging responsible AI use in applications) and growth. Past AI engineers have shipped features powering billions of tasks annually. Join a values-driven company shaping work's future.
How to Apply
Submit your resume and a note on your favorite LLM project. Use AI tools transparently—see our AI collaboration guide. We review holistically: experience > perfection. Expect technical interviews on LLMs, systems design, and live coding. Equal opportunity employer.
Locations
- San Francisco, California, United States (Remote)
- New York, New York, United States (Remote)
- Toronto, Ontario, Canada (Remote)
- Remote, NAMER, United States (Remote)
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG)intermediate
- Transformer Networksintermediate
- Attention Mechanismsintermediate
- Agent Architecturesintermediate
- Vector Databasesintermediate
- Semantic Searchintermediate
- LLM Evaluation Frameworksintermediate
- Cloud Infrastructureintermediate
- Distributed Systemsintermediate
- Scalable Web Applicationsintermediate
- Python Programmingintermediate
- Machine Learning Operations (MLOps)intermediate
- Prompt Engineeringintermediate
- Function Callingintermediate
- Bias Assessmentintermediate
- Model Optimizationintermediate
- Orchestration Patternsintermediate
- Production Deploymentintermediate
- Customer-Facing AI Featuresintermediate
Required Qualifications
- 5+ years of software engineering experience with 3+ years building distributed, scalable cloud-based web applications (experience)
- 1+ year of hands-on experience with large language models (LLMs) in production environments (experience)
- Proven experience building user-facing applications leveraging agent architectures (experience)
- Deep familiarity with transformer networks, attention mechanisms, and LLM capabilities for coherent responses and function calls (experience)
- Experience deploying evaluation frameworks for LLMs focusing on performance, reliability, and bias assessment (experience)
- Hands-on work with Retrieval-Augmented Generation (RAG) systems including indexing and chunking strategies (experience)
- Expertise in semantic search, vector databases, and their differences from traditional methods (experience)
- Full lifecycle experience: building, testing, deploying, and scaling LLM architectures (experience)
- Ability to identify, document, and communicate technical trade-offs in development (experience)
- Strong experience with cloud infrastructure technologies (AWS, GCP, Azure) (experience)
- Excellent communication skills and problem-solving abilities for customer experiences (experience)
- Passion for shipping production-ready code that impacts real users (experience)
Responsibilities
- Design and implement scalable LLM-powered features for Zapier's automation platform
- Build and optimize Retrieval-Augmented Generation (RAG) systems for enhanced model accuracy
- Develop evaluation frameworks to assess LLM performance, reliability, and bias
- Create agent architectures for complex, user-facing automation workflows
- Deploy and manage LLMs in production environments using cloud infrastructure
- Experiment with transformer networks and attention mechanisms for custom model behaviors
- Implement semantic search and vector database solutions for knowledge retrieval
- Collaborate across teams to ship shared libraries and orchestration patterns
- Optimize indexing and chunking strategies based on data types and performance goals
- Document technical trade-offs and maintain production-ready codebases
- Translate customer needs into functional AI-driven specifications
- Balance development speed with quality to deliver impactful features
- Monitor and scale LLM systems for high availability and efficiency
- Integrate function calling and tool usage in LLM applications
Benefits
- general: Unlimited vacation policy with encouraged time off
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching program for retirement savings
- general: Fully remote work with flexible hours across time zones
- general: Annual company retreats and team offsites
- general: Professional development stipend for courses and conferences
- general: Generous parental leave (16 weeks paid)
- general: Home office setup allowance up to $1,500
- general: Mental health support through dedicated programs
- general: Stock options in a high-growth AI automation company
- general: Weekly team lunches and virtual social events
- general: Fitness and wellness reimbursement
- general: Sabbatical after 5 years of service
- general: Volunteer time off with matching donations
Tags & Categories
Answer 10 quick questions to check your fit for Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now! @ Zapier.
Related Books and Jobs
Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now!
Zapier
Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now!
Job Description
Applied AI Engineer at Zapier: Build the Future of Automation
Role Overview
Zapier is revolutionizing work automation by placing AI at its core, and we're seeking a talented Applied AI Engineer to join our innovative team. This senior-level role offers the chance to ship real products that leverage large language models (LLMs), agent architectures, and advanced techniques like Retrieval-Augmented Generation (RAG). Working remotely across NAMER (North America), you'll tackle challenging problems in distributed systems, evaluation frameworks, and user-facing AI features.
Our Applied AI Engineers don't just experiment—they deliver production-ready solutions that scale. Whether you're optimizing transformer networks, building semantic search with vector databases, or orchestrating complex LLM workflows, your work will impact millions of users automating their workflows. With 5+ years of software engineering experience required, this position is perfect for seasoned professionals passionate about AI production deployment and customer impact.
At Zapier, roles evolve with the talent we hire. Even if you don't match every bullet point perfectly, apply if you thrive in fast-paced environments shipping code that matters. Explore how AI engineers at Zapier are collaborating with AI responsibly during our hiring process.
Key Responsibilities
As an Applied AI Engineer, your day-to-day will involve hands-on development of cutting-edge AI systems. Here's what you'll be doing:
- Architect and implement scalable LLM-powered automation features integrated into Zapier's platform.
- Design RAG systems with advanced indexing, chunking, and semantic search to boost model accuracy and response speed.
- Build comprehensive evaluation frameworks measuring LLM performance, reliability, hallucination rates, and bias.
- Develop agentic architectures enabling LLMs to handle multi-step tasks and function calling in production.
- Deploy, monitor, and scale LLM inference pipelines using cloud infrastructure like AWS SageMaker or GCP Vertex AI.
- Optimize transformer models and attention mechanisms for specific automation use cases like code generation and data extraction.
- Integrate vector databases (Pinecone, Weaviate) for efficient knowledge retrieval in enterprise workflows.
- Collaborate with product teams to translate user needs into AI specifications and ship shared libraries/orchestration patterns.
- Conduct experiments with prompt engineering, fine-tuning, and distillation for cost-effective production models.
- Document trade-offs in model selection, latency vs. accuracy, and infrastructure choices for team alignment.
- Ensure high availability and fault tolerance in distributed AI systems serving global customers.
- Contribute to open-source AI tools and internal best practices for LLM development at Zapier.
- Balance rapid iteration with robust testing to deliver features that drive customer adoption.
These responsibilities highlight the breadth of impact: from core infrastructure to delightful user experiences powered by AI.
Qualifications
We're looking for engineers who bring proven expertise in production AI. Key qualifications include:
- 5+ years software engineering with 3+ years in distributed, scalable cloud web apps.
- 1+ year production experience with LLMs, including agent architectures for user-facing apps.
- Strong grasp of transformers, attention, and LLM mechanics for generation/function calling.
- Hands-on deployment of LLM evals for performance/reliability/bias.
- RAG expertise: indexing/chunking, vector DBs, semantic vs. traditional search.
- Full lifecycle ownership: build/test/deploy/scale LLM systems.
- Cloud infra proficiency (Kubernetes, serverless, etc.) and trade-off documentation.
- Customer obsession: shipping code that solves real problems fast.
Bonus: Experience with Zapier-like automation, MLOps tools (LangChain, LlamaIndex), or multimodal LLMs.
Salary & Benefits
Competitive compensation reflects senior expertise: $180,000–$260,000 USD base (plus equity, bonuses). Total comp varies by experience/location.
- Unlimited PTO with recharge encouragement.
- Top-tier health/dental/vision coverage.
- 401(k) match + stock options.
- Fully remote, flexible NAMER hours.
- $1,500 home office stipend.
- 16 weeks parental leave.
- Professional growth budget.
- Wellness/fitness reimbursements.
- Company retreats + volunteer PTO.
- Mental health resources.
Why Join Zapier?
Zapier isn't just another company—it's where automation meets AI innovation. Our 100% remote culture empowers you to do your best work anywhere. With millions of users relying on our platform, your AI contributions scale massively.
Enjoy ownership from day one, paired with collaborative teams. We value transparency (even encouraging responsible AI use in applications) and growth. Past AI engineers have shipped features powering billions of tasks annually. Join a values-driven company shaping work's future.
How to Apply
Submit your resume and a note on your favorite LLM project. Use AI tools transparently—see our AI collaboration guide. We review holistically: experience > perfection. Expect technical interviews on LLMs, systems design, and live coding. Equal opportunity employer.
Locations
- San Francisco, California, United States (Remote)
- New York, New York, United States (Remote)
- Toronto, Ontario, Canada (Remote)
- Remote, NAMER, United States (Remote)
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG)intermediate
- Transformer Networksintermediate
- Attention Mechanismsintermediate
- Agent Architecturesintermediate
- Vector Databasesintermediate
- Semantic Searchintermediate
- LLM Evaluation Frameworksintermediate
- Cloud Infrastructureintermediate
- Distributed Systemsintermediate
- Scalable Web Applicationsintermediate
- Python Programmingintermediate
- Machine Learning Operations (MLOps)intermediate
- Prompt Engineeringintermediate
- Function Callingintermediate
- Bias Assessmentintermediate
- Model Optimizationintermediate
- Orchestration Patternsintermediate
- Production Deploymentintermediate
- Customer-Facing AI Featuresintermediate
Required Qualifications
- 5+ years of software engineering experience with 3+ years building distributed, scalable cloud-based web applications (experience)
- 1+ year of hands-on experience with large language models (LLMs) in production environments (experience)
- Proven experience building user-facing applications leveraging agent architectures (experience)
- Deep familiarity with transformer networks, attention mechanisms, and LLM capabilities for coherent responses and function calls (experience)
- Experience deploying evaluation frameworks for LLMs focusing on performance, reliability, and bias assessment (experience)
- Hands-on work with Retrieval-Augmented Generation (RAG) systems including indexing and chunking strategies (experience)
- Expertise in semantic search, vector databases, and their differences from traditional methods (experience)
- Full lifecycle experience: building, testing, deploying, and scaling LLM architectures (experience)
- Ability to identify, document, and communicate technical trade-offs in development (experience)
- Strong experience with cloud infrastructure technologies (AWS, GCP, Azure) (experience)
- Excellent communication skills and problem-solving abilities for customer experiences (experience)
- Passion for shipping production-ready code that impacts real users (experience)
Responsibilities
- Design and implement scalable LLM-powered features for Zapier's automation platform
- Build and optimize Retrieval-Augmented Generation (RAG) systems for enhanced model accuracy
- Develop evaluation frameworks to assess LLM performance, reliability, and bias
- Create agent architectures for complex, user-facing automation workflows
- Deploy and manage LLMs in production environments using cloud infrastructure
- Experiment with transformer networks and attention mechanisms for custom model behaviors
- Implement semantic search and vector database solutions for knowledge retrieval
- Collaborate across teams to ship shared libraries and orchestration patterns
- Optimize indexing and chunking strategies based on data types and performance goals
- Document technical trade-offs and maintain production-ready codebases
- Translate customer needs into functional AI-driven specifications
- Balance development speed with quality to deliver impactful features
- Monitor and scale LLM systems for high availability and efficiency
- Integrate function calling and tool usage in LLM applications
Benefits
- general: Unlimited vacation policy with encouraged time off
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching program for retirement savings
- general: Fully remote work with flexible hours across time zones
- general: Annual company retreats and team offsites
- general: Professional development stipend for courses and conferences
- general: Generous parental leave (16 weeks paid)
- general: Home office setup allowance up to $1,500
- general: Mental health support through dedicated programs
- general: Stock options in a high-growth AI automation company
- general: Weekly team lunches and virtual social events
- general: Fitness and wellness reimbursement
- general: Sabbatical after 5 years of service
- general: Volunteer time off with matching donations
Tags & Categories
Answer 10 quick questions to check your fit for Applied AI Engineer Careers at Zapier - Remote, NAMER | Apply Now! @ Zapier.
Related Books and Jobs