Senior Software Engineering - AI & Enterprise Systems

AT&T AT&T · Telecom · USA:TX:Plano +1

Senior Software Engineer with AI exposure to design, build, and enhance enterprise software solutions, focusing on agentic AI systems, RAG pipelines, and integrating LLM-based agents into enterprise use cases. Requires strong backend development, distributed systems, and cloud-native architecture skills.

What you'd actually do

  1. Design, build, and deliver APIs, microservices, and cloud-native applications
  2. Own end-to-end development across the full lifecycle
  3. Drive modernization (API-first, cloud, containers)
  4. Design and implement agentic AI systems for autonomous workflows and decision-making
  5. Build and integrate AI agents (LLM-based or hybrid) into enterprise use cases (automation, orchestration, defect resolution)

Skills

Required

  • 5+ years building enterprise applications with strong backend expertise (Java, Spring Boot, APIs, microservices)
  • Experience with cloud platforms, CI/CD, containers (Docker/Kubernetes), and messaging systems (Kafka, MQ)
  • Strong foundation in distributed systems, system design, and testing practices
  • Exposure to AI/ML or GenAI (LLMs, RAG, automation, or AI-assisted development)
  • Experience working in Agile environments

What the JD emphasized

  • AI exposure
  • agentic AI systems
  • AI agents (LLM-based or hybrid)
  • RAG pipelines
  • vector-backed solutions
  • knowledge-grounded systems
  • context management, memory, and orchestration layers
  • human-in-the-loop workflows
  • observability, guardrails, and performance optimization

Other signals

  • Design and implement agentic AI systems for autonomous workflows and decision-making
  • Build and integrate AI agents (LLM-based or hybrid) into enterprise use cases
  • Develop RAG pipelines, vector-backed solutions, and knowledge-grounded systems
  • Ensure observability, guardrails, and performance optimization