Lead Applications Development

AT&T AT&T · Telecom · Plano, TX

Lead Application Developer role focusing on designing, developing, and integrating AI/LLM-based applications, including agentic AI, prompt workflows, and tool integration, within an enterprise context. Requires strong software development skills in Java, Spring Boot, and cloud technologies, with experience in AI concepts and tools like GitHub Copilot and Claude.

What you'd actually do

  1. Lead end-to-end design, development, and implementation for application features and enhancements, ensuring robust solution architecture.
  2. Write high-quality code, conduct thorough testing and debugging, and maintain comprehensive documentation for all deliverables.
  3. Provide hands-on development for complex and high-risk components, resolve critical defects, and support production issues as needed.
  4. Design and develop APIs, services, and data flows, integrating with upstream and downstream systems to ensure scalability and maintainability.
  5. Enforce secure coding practices, code review standards, and testing strategies—including unit and integration tests—for quality assurance.

Skills

Required

  • Java
  • Spring Boot (REST, MVC, Security)
  • Microservices
  • modern cloud technologies
  • agentic AI
  • AI-assisted development
  • LLM-based application patterns
  • Python
  • LangChain/LangGraph
  • prompt workflows
  • tool integration
  • responsible AI practices
  • GitHub Copilot
  • Claude
  • Windsurf
  • agent-based coding
  • Docker
  • Kubernetes
  • Bitbucket
  • Kafka
  • Jenkins
  • Git
  • OpenShift
  • AKS
  • cloud-native development
  • Agile environments

Nice to have

  • telecom industry standards
  • business processes
  • technology solutions
  • mentoring teams
  • conducting technical reviews
  • maintaining documentation repositories
  • end-to-end business process optimization
  • IT portfolio management

What the JD emphasized

  • agentic AI
  • AI-assisted development
  • LLM-based application patterns
  • LangChain/LangGraph
  • prompt workflows
  • tool integration
  • responsible AI practices

Other signals

  • agentic AI
  • AI-assisted development
  • LLM-based application patterns
  • LangChain/LangGraph
  • prompt workflows
  • tool integration
  • responsible AI practices