Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits in the broadband business systems organization and focuses on APIs that handle inquiry and application processing across multiple customer channels. The team designs and improves connections between front-end and core systems, helping create consistent service flows across the business.
The engineer drives API development from requirements definition through release, designs system interfaces, coordinates requirements with related departments, and plans improvements to existing integrations. The work includes API standardization, functional enhancements, integration renewal, bottleneck analysis, and designs that consider performance and availability. The named environment includes Java 11, Spring Boot, MyBatis, JUnit 5, Mockito, JaCoCo, Gradle, GitLab CI, Microsoft SQL Server, Jenkins, ArgoCD, Docker, Kubernetes, OpenShift, and private-cloud or virtual environments. AI development tools including GitHub Copilot Business, ChatGPT Enterprise, and Gemini 3.1 Pro are also used.
Applicants must have at least three years of system development experience using Java, practical experience with requirements definition or basic design, experience developing with multiple team members using version control such as Git, and the ability to understand business logic and processing flows and translate them into design and implementation.
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