…The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search…

…Delivery (CD) platform (leveraging Spinnaker and custom tooling), Infrastructure as Code (IaC) execution engines (primarily Terraform), and a suite of supporting microservices. These systems…

…web application development, database, Unix/Linux environments, distributed and parallel systems, information retrieval, networking, large scale software development, security software development, Kafka, Kubernetes, Microservices…

…Solid understanding of distributed systems, concurrency, networking, and service-oriented architectures. Experience with databases, data modeling, and cloud-native application development. Experience with containerized…

…and data access efficiency by leveraging dense and sparse retrieval methods using vector databases including FAISS, Milvus, BM25, and ElasticSearch; Integrating retrieval systems with…

…systems using large language models. •Experience with AI engineering concepts such as retrieval-augmented generation (RAG), tool calling, Model Context Protocol (MCP), vector databases…

…platforms. Experience with GPU inference optimization, model serving, workflow engines, or multi-tenant cloud services. Experience integrating AI systems with enterprise APIs, databases, identity…

…databases Bonus Points: Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification BS, MS or PhD in Computer Science or related engineering…

…skills, libraries, or patterns that accelerate delivery across engineering teams Experience working across hybrid technology ecosystems using cloud services, Databricks, and Kubernetes-based platforms

…Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps. Experience leading multi-petabyte modernization programs and globally distributed delivery teams…

…management Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores Optimize platform performance across…

We're building the large-scale data foundation that powers private, personalized experiences across Apple platforms. Our team designs and operates the systems that…

…Preferred 8+ years of experience in AI/ML engineering and large-scale distributed systems. Deep experience with LLMs, RAG architectures, vector databases, and agentic…

…building recommendation systems, search platforms, personalization engines, or other intelligent decision systems. Experience with geospatial technologies, GIS platforms, routing systems, spatial databases (e.g…