
Cloud-Native AI Systems Architect
19 hours ago
Role Summary
- We are seeking a Senior AI Platform Engineer to design and implement high-performance backend systems and AI infrastructure.
Responsibilities:
- Design, develop, and maintain low-latency backend services for AI applications.
- Build and deploy scalable cloud-native systems using AWS services.
- Work closely with AI researchers, data engineers, and product teams to integrate backend systems with AI workflows.
- Ensure code quality, service reliability, and infrastructure observability.
- Contribute to best practices in backend engineering and DevOps.
- 8+ years of professional experience in backend or infrastructure engineering.
- Strong coding skills in Python or Java.
- Proven experience building high-performance online services (sub-millisecond latency preferred; AI-related workloads a plus).
- Solid understanding of Knowledge Graph technologies, including graph databases, metadata ontologies, and Graph-based Retrieval-Augmented Generation (RAG).
- Practical experience with cloud-native services, including AWS Lambda, S3, ECS, and Batch.
- Track record of owning services through development, deployment, and monitoring.
- Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins).
- Experience using Infrastructure as Code (e.g., Terraform).
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