Applied AI Engineer: GenAI Platforms & Production Tools

Apple Inc.; San Diego (CA); On-site; USD 123,000 - 214,000; Full time

Job summary

Apple Inc. in San Diego is seeking an Applied AI engineer to develop intelligent applications and systems that leverage hardware test data to empower hardware engineers with self-service software tools.

You will build scalable, production-grade AI pipelines and full-stack applications using Python/FastAPI, React/Next.js, and AWS, deployed on Kubernetes (EKS) with Terraform-based pipelines. Work with cross-functional teams to deliver robust, observable solutions and influence product design.

Qualifications

• BS in Computer Science, Software Engineering, Computer Engineering, ML, or related field.
• Experience with Python (FastAPI, SQLAlchemy), TypeScript (React/Next.js).
• Experience building web apps and containerized services on Kubernetes (EKS).
• Exposure to GenAI ML to production solutions and workflows.
• Ability to work with stakeholders and guide feature scope.

Responsibilities

• Implement robust GenAI-oriented applications with Python/ FastAPI backend and React/ Next.js frontend.
• Develop multi-tenant EKS platform with build pipelines and session-affinity routing at scale.
• Integrate GenAI capabilities and production-grade inference pipelines.
• Collaborate across teams and contractors, providing code reviews and support.
• Establish observability with OpenTelemetry, Prometheus, and structured logging.

Skills

Python

FastAPI

TypeScript

React

Next.js

Kubernetes

EKS

Terraform

OpenTelemetry

Prometheus

Grafana

GenAI

Education

B.S. in Computer Science/Engineering

Tools

AWS

RDS

ElastiCache

Docker

Kubernetes

Terraform

Job description

Apple Inc. in San Diego is seeking an Applied AI engineer to develop intelligent applications and systems that leverage hardware test data to empower hardware engineers with self-service software tools.

You will build scalable, production-grade AI pipelines and full-stack applications using Python/FastAPI, React/Next.js, and AWS, deployed on Kubernetes (EKS) with Terraform-based pipelines. Work with cross-functional teams to deliver robust, observable solutions and influence product design.