Principal System Engineer - Laravel/php Developer (ai Development)

AT&T AT&T · Telecom · Plano, TX +1

This Principal System Engineer role focuses on architecting, designing, and delivering AI-driven, data-intensive, and cloud-native platforms for AT&T's Consumer Technology eXperience (CTX) digital and compliance ecosystems. The role requires hands-on experience in AI, Generative AI, Agentic AI, ML, DL, and Data Engineering, combined with enterprise system design and modernization. Key responsibilities include building production-grade AI/GenAI/Agentic AI solutions, developing Agentic AI applications, implementing LLM-based workflows (prompt orchestration, RAG, autonomous agents), and operationalizing AI solutions with security and observability. The role also involves data engineering, system architecture, full-stack development (PHP/Laravel, Node.js, Vue.js), and integrating accessibility, security, and compliance controls.

What you'd actually do

  1. Design, build, and operate production-grade AI, GenAI, and Agentic AI solutions at enterprise scale.
  2. Develop Agentic AI applications using Python-based frameworks (e.g., ADK) or equivalent orchestration platforms.
  3. Implement LLM-based workflows including prompt orchestration, RAG, and autonomous agent patterns.
  4. Work on with Data Science and ML teams to operationalize AI solutions with security, auditability, and observability.
  5. Embed responsible AI practices including privacy, logging, monitoring, and governance controls.

Skills

Required

  • Python
  • PySpark
  • PHP
  • Laravel
  • Node.js
  • Vue.js
  • PostgreSQL
  • ETL/ELT pipelines
  • Distributed and cloud-native architectures
  • Event-driven and streaming architectures (Kafka)
  • Microservices
  • API-based platforms
  • Secure coding
  • Compliance-driven development
  • OAuth providers
  • Cloud logging
  • Auditing
  • Monitoring tools
  • Agentic AI applications
  • Generative AI solutions
  • Machine Learning
  • Deep Learning
  • Data Engineering
  • Enterprise system design
  • Modernization

Nice to have

  • Azure
  • TypeScript
  • GraphQL
  • Real-time data processing
  • Large-scale distributed data platforms
  • Docker
  • Linux-based systems
  • Power BI
  • Grafana
  • Kibana
  • Tableau
  • Accessibility testing
  • CI/CD pipelines
  • Highly regulated environments
  • RAG
  • Prompt orchestration

What the JD emphasized

  • Experience developing Agentic AI applications using Python‑based frameworks (e.g., ADK) or equivalent orchestration platforms.
  • Hands‑on experience building AI/ML, Generative AI, or Agentic AI solutions in production environments.
  • 8+ years of strong, demonstrated expertise in PHP / Laravel development, including production‑grade applications.

Other signals

  • AI/ML, Generative AI, or Agentic AI solutions in production environments
  • LLM-based workflows including prompt orchestration, RAG, and autonomous agent patterns
  • Embed responsible AI practices including privacy, logging, monitoring, and governance controls