Zapier

3 months ago

Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join Zapier's AI Platform as an Applied AI Engineer to build and evolve shared AI infrastructure used across teams. You’ll work on LLM Ops/ML Ops, contribute to core services like the LLM proxy server, and help designers of production AI experiences, balancing reliability, latency, cost, and safety while collaborating with cross-functional teams.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Contribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier.
•Work mostly in TypeScript & Python; 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.

Pay and Benefits

Salary: USD 191,500 - 287,300 annually

Equity and Bonus:Equity

Key Requirements

•4+ years of software engineering experience, including building and operating production AI/ML systems
•At least 1 year of experience in LLM Ops or ML Ops or adjacent platform/infrastructure work
•Experience contributing to backend systems, developer tooling, internal platforms, or infrastructure
•Experience with full lifecycle of building, testing, deploying, and scaling ML/LLM architectures
•Strong understanding of balancing reliability, latency, cost, quality, and maintainability in production systems

Experience:4+ yearsAI/MLLLM OpsML OpsDeveloper tooling

Skills:CommunicationCollaborationProblem-solving

Tech Stack:TypeScriptPythonLLMML OpsObservabilityLLM proxy serverPlatform APIs

Company Brief

Zapier

Provides a no-code automation platform that connects apps and automates workflows for businesses and individuals, enabling integrations between thousands of web applications to streamline repetitive tasks and improve productivity.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Founded: 2011

Website LinkedIn

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Zapier

3 months ago

Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Contribute to shared AI Platform capabilities that support teams building with machine learning and generative AI across Zapier.
•Work mostly in TypeScript & Python; 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.

Pay and Benefits

Salary: USD 191,500 - 287,300 annually

Equity and Bonus:Equity

Key Requirements

•4+ years of software engineering experience, including building and operating production AI/ML systems
•At least 1 year of experience in LLM Ops or ML Ops or adjacent platform/infrastructure work
•Experience contributing to backend systems, developer tooling, internal platforms, or infrastructure
•Experience with full lifecycle of building, testing, deploying, and scaling ML/LLM architectures
•Strong understanding of balancing reliability, latency, cost, quality, and maintainability in production systems

Experience:4+ yearsAI/MLLLM OpsML OpsDeveloper tooling

Skills:CommunicationCollaborationProblem-solving

Tech Stack:TypeScriptPythonLLMML OpsObservabilityLLM proxy serverPlatform APIs

Company Brief

Zapier

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Founded: 2011

Website LinkedIn