Senior AI-Powered Software Engineer

AT&T; Bedminster Township (NJ); On-site; USD 128,000 - 216,000; Full time

Benefits offered by this job

Medical benefits

401(k)

Tuition reimbursement

Job summary

AT&T is seeking an AI-Native Software Engineer, Senior to deliver production-grade AI-enabled applications, agentic workflows, and enterprise system integration. You will work in a tightly coupled, two-in-a-box model with business and technical stakeholders to translate needs into scalable software solutions.

The role emphasizes LLM-based workflows, secure integrations, and end-to-end delivery of AI-driven services, APIs, and frontend experiences, with an office presence requirement of at least

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
• 5+ years of professional software engineering experience delivering production-grade applications and services.
• Experience building AI-enabled applications and APIs using modern frameworks.
• Experience deploying and operating applications in cloud or enterprise environments.

Responsibilities

• Design, develop, and deploy AI-enabled applications and intelligent workflow automations using modern LLM technologies.
• Build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
• Integrate AI solutions with enterprise systems, databases, event streams, and approved APIs.
• Ensure secure service contracts, validation frameworks, retry mechanisms, and observability across integrations.

Skills

AI-Native mindset

LangGraph

LLM workflows

Python API design

Enterprise security

Team collaboration

Education

Bachelor's degree

Tools

FastAPI

Flask

Django

Job description

AT&T is seeking an AI-Native Software Engineer, Senior to deliver production-grade AI-enabled applications, agentic workflows, and enterprise system integration. You will work in a tightly coupled, two-in-a-box model with business and technical stakeholders to translate needs into scalable software solutions.

The role emphasizes LLM-based workflows, secure integrations, and end-to-end delivery of AI-driven services, APIs, and frontend experiences, with an office presence requirement of at least