Principal AI-Native Engineer (Onsite) – Production-Grade Python & LLMs

AT&T; Atlanta (GA); On-site; USD 155,000 - 261,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Paid Time Off and Holidays

Tuition reimbursement program

Parental Leave

Employee discounts

Job summary

AT&T is seeking a Principal AI-Native Software Engineer to deliver production-ready AI-enabled software from Alpharetta and other locations. You will design scalable Python services, REST APIs, and agentic workflows, partnering in a two-in-a-box model with stakeholders to translate business needs into robust technical solutions.

The role emphasizes secure, observable, and maintainable systems built for production, with experience integrating LLMs, AI tools, and enterprise platforms.

Qualifications

• 8+ years of professional software engineering experience delivering production applications or services.
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related discipline.
• Strong Python development experience with FastAPI, Flask, or Django.
• Hands-on experience designing and developing REST APIs and backend/microservice architectures.
• Experience integrating applications with enterprise platforms, databases, and distributed systems.
• Strong knowledge of SQL and relational databases; NoSQL experience is a plus.
• Experience with unit/integration testing, CI/CD, code review, and refactoring.
• Experience with Docker and deployment into cloud or enterprise environments.
• Security-conscious API development, authentication/authorization, secrets management, least privilege, audit logging.
• Hands-on experience integrating LLMs or Generative AI capabilities into software.
• Experience with tool/function calling, structured prompting, output validation, RAG, or grounding techniques.
• Demonstrated use of AI coding assistants throughout the dev lifecycle.

Responsibilities

• Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks like FastAPI, Flask, or Django.
• Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning, and multi-step execution.
• Collaborate in a two-in-a-box model to translate ambiguous business problems into technical designs.
• Securely integrate AI apps with enterprise APIs, databases, event streams, and internal platforms.
• Define tool and service contracts for AI agents with schemas, validation, idempotency, retries, and access controls.
• Develop evaluation strategies for AI and agentic systems, including testing, guardrails, and release gates.
• Implement RAG, vector search, context engineering, structured outputs, and grounding as needed.
• Build end-to-end solutions across backend systems and front-end experiences (e.g., Angular).
• Apply secure-by-design practices: authentication, authorization, secrets management, least privilege, and auditability.
• Build observability with logging, metrics, tracing, dashboards, alerts, and incident troubleshooting.
• Enable automated testing, CI/CD, Docker-based deployment, and resilient distributed patterns.

Skills

Python development

REST APIs

LLMs integration

Security & observability

Distributed systems

CI/CD

Docker

AI coding assistants

Education

Bachelor's degree in CS/Engineering or related

Tools

LangGraph

Angular

FastAPI

Django / Flask

Docker

Job description

AT&T is seeking a Principal AI-Native Software Engineer to deliver production-ready AI-enabled software from Alpharetta and other locations. You will design scalable Python services, REST APIs, and agentic workflows, partnering in a two-in-a-box model with stakeholders to translate business needs into robust technical solutions.

The role emphasizes secure, observable, and maintainable systems built for production, with experience integrating LLMs, AI tools, and enterprise platforms.