Principal AI Engineer
仕事内容
Design, build, and scale AI-powered applications, including LLM-based services, ML-driven workflows, and intelligent automation.
Integrate AI capabilities into Java-based backend systems and cloud-native platforms, with API-first services (REST & GraphQL).
Develop data pipelines for feature engineering, retrieval-augmented generation (RAG), vector search, and inference, with careful prompt design and observability.
Lead cloud-native engineering on AWS (EC2, S3, RDS, Lambda, EKS), containerization with Docker/Kubernetes, and Infrastructure as Code (Terraform or AWS CDK).
Design and operate scalable SQL and NoSQL data stores in distributed systems, balancing consistency, availability, and performance.
Provide end-to-end technical leadership, mentor engineers, and collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.
Integrate AI capabilities into Java-based backend systems and cloud-native platforms, with API-first services (REST & GraphQL).
Develop data pipelines for feature engineering, retrieval-augmented generation (RAG), vector search, and inference, with careful prompt design and observability.
Lead cloud-native engineering on AWS (EC2, S3, RDS, Lambda, EKS), containerization with Docker/Kubernetes, and Infrastructure as Code (Terraform or AWS CDK).
Design and operate scalable SQL and NoSQL data stores in distributed systems, balancing consistency, availability, and performance.
Provide end-to-end technical leadership, mentor engineers, and collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.
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