Database Engineer - RAG Platform Developer

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 57 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $163k

$118k most similar roles pay here $208k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,175.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Database Engineer - RAG Platform Developer

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Join our dynamic team as a Database Engineer specializing in the RAG platform, where you will architect and optimize SQL and vector databases supporting enterprise-scale design data. Your day-to-day responsibilities include leading technical decisions on database architecture, scaling patterns, and technology selection while building comprehensive strategies for optimal performance. You will collaborate with development teams to refine data ingestion pipelines and work closely with DevOps/SRE teams to ensure system scalability and quality of service. Additionally, you will contribute to full-stack GenAI application development using Python and JavaScript, monitor database health metrics, and develop disaster recovery strategies. Ideal candidates have experience with vector databases like Milvus or Qdrant, SQL proficiency, and a deep understanding of RAG pipelines and retrieval optimization techniques.

Skills

Python JavaScript Milvus Qdrant Weaviate PostgreSQL MySQL Prometheus Grafana Kubernetes CI/CD

What you'll do

Design and optimize SQL and vector database infrastructure for enterprise-scale data.
Lead technical decisions on database architecture, scaling patterns, and technology selection.
Build and refine data ingestion pipelines for seamless data onboarding by design teams.
Improve RAG retrieval performance through hybrid search strategies and index tuning.
Contribute to full-stack development using Python and JavaScript for GenAI applications.

What we're looking for

Proficiency in Python or JavaScript.
Production experience deploying and managing vector databases at scale.
Experience with PostgreSQL or MySQL in production environments.
Understanding of RAG pipelines including embedding strategies, chunking, and retrieval optimization.
Strong SQL proficiency and understanding of query planning, indexing strategies, and optimization techniques.
Experience managing large-scale databases serving high-concurrency workloads.

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