We’re seeking a Database Engineer to architect and optimize our large-scale RAG (Retrieval-Augmented Generation) platform that serves our users across all of the Hardware Tech group. This role combines deep database expertise with modern AI/ML infrastructure, enabling design teams to seamlessly onboard and query enterprise-scale datasets. You’ll be responsible for database architecture and optimization while also contributing to full-stack GenAI application development.
DescriptionMinimum Qualifications
- Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale
- Experience with PostgreSQL or MySQL in production environments
- Understanding of RAG pipelines, including embedding strategies, chunking, and retrieval optimization
- Minimum requirement of BS + 10 years of relevant industry experience
Preferred Qualifications
- Understanding of Vector database indexing strategies and tradeoffs
- Strong SQL proficiency with deep understanding of query planning, indexing strategies, and optimization techniques
- Postgres advanced features (extensions, replication, sharding)
- Experience managing large-scale databases serving high-concurrency workloads
- Experience with embedding models and LLM integration patterns
- Demonstrated experience building or optimizing RAG systems in production environments
- Collaborative mindset with ability to mentor engineers and work closely with DevOps/SRE teams
- Monitoring and observability tools (Prometheus, Grafana)
- Kubernetes experience, particularly with stateful applications and database deployments
- Proven ability to make architectural decisions for scalable database systems
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
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