Senior Full Stack/ai Engineer

AT&T AT&T · Telecom · Naucalpan De Juarez, Mexico

Senior Full Stack/AI Engineer to develop AI-powered solutions, including intelligent billing and collections capabilities, and scalable backend services. Requires backend experience, Java, Azure, and at least 1 year of practical AI/ML experience, integrating AI into applications, and using AI-assisted development tools.

What you'd actually do

  1. Build and integrate AI-enabled and data-driven capabilities into new and existing platforms.
  2. Use AI-assisted development tools to improve coding, testing, debugging, and documentation efficiency.
  3. Integrate with data products to support reliable, scalable, and efficient data flow.
  4. Contribute to architecture decisions and continuously improve engineering productivity through automation, modern tools, and emerging AI/ML practices.
  5. Design, develop, and maintain scalable backend services and full stack applications using Java in an Azure cloud environment.

Skills

Required

  • Java
  • Azure cloud environments
  • microservices architecture
  • REST APIs
  • distributed systems
  • AI/ML technologies
  • LLMs
  • AI APIs
  • ML-enabled features
  • integrating AI capabilities into applications
  • AI-assisted development tools
  • data pipelines
  • data products
  • data-driven architectures
  • problem-solving skills
  • communication skills
  • collaboration skills
  • Agile/Scrum teams
  • Spanish
  • English

Nice to have

  • LLM orchestration
  • agent-based architectures
  • conversational systems
  • automation workflows
  • decision intelligence solutions
  • Azure AI services
  • MLOps practices
  • Docker
  • Kubernetes
  • telecom systems
  • billing systems
  • collections systems
  • financial systems

What the JD emphasized

  • at least 1 year of practical AI/ML experience in production or experimental environments
  • at least 1 year of hands-on experience with AI/ML technologies
  • Demonstrated ability to use AI-assisted development tools to improve engineering productivity

Other signals

  • AI-powered solutions
  • AI/ML experience in production
  • integrating AI capabilities into applications