Principal AI-Native Software Engineer

AT&T

Quick summary

Work type
On-site
Location
Dallas, TX
Salary
$174,100–$279,800 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $227k
$148k most similar roles pay here $294k

This role pays more than 66% of similar roles. Most pay $162,000–$240,275 — the shaded band above. At the midpoint, this role pays about $227k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 53 open roles on FindRole.

Listed pay typically runs $141,300–$215,800 across 51 roles with salary data.

Most-posted roles

View all roles at AT&T

At a glance

TL;DR · Principal AI-Native Software Engineer

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As a Principal Engineer in the AI-Native Software Engineering team, you will work closely with business partners to transform abstract ideas into production-ready applications by leveraging Python and cutting-edge AI technologies. Your day-to-day responsibilities include designing intelligent workflows using LLMs, LangGraph, MCP, and multi-agent systems, as well as building scalable backend services and user-facing applications. You’ll need hands-on experience with fullstack Python development frameworks like FastAPI, Flask, or Django, REST API design, and cloud platforms such as AWS, GCP, or Azure. Additionally, proficiency in AI coding assistants, prompt engineering, vector-based search, and CI/CD practices is essential for creating robust end-to-end solutions that are secure, scalable, and operationally resilient. This role requires a deep understanding of integrating AI into software development to deliver high-impact business value quickly.

Skills

Python FastAPI Flask Django LLMs LangGraph MCP Vector-based-search REST APIs SQL NoSQL AWS GCP Azure Docker CI/CD Prometheus Grafana

What you'll do

  • Design and orchestrate intelligent workflows using LLMs, LangGraph, MCP, and multi-agent systems.
  • Develop and optimize prompts, context strategies, session memory, retrieval pipelines, and vector-based search to enhance agent performance.
  • Build AI-powered applications in Python using frameworks like FastAPI, Flask, or Django.
  • Integrate backend services, APIs, databases, vector stores, third-party platforms, and ML systems into robust end-to-end solutions.
  • Implement testing, monitoring, evaluation, logging, and CI/CD practices to ensure system reliability and performance.

What we're looking for

  • Strong experience in fullstack Python development with frameworks like FastAPI, Flask, or Django.
  • Hands-on expertise with LLMs, prompt engineering, and multi-agent systems.
  • Experience designing REST APIs and integrating backend services across SQL and NoSQL databases.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Proficiency in AI tools for software development and experience improving speed and quality through AI.
  • Deep understanding of secure, scalable, and maintainable software design principles.
  • Experience with Docker, CI/CD pipelines, testing frameworks, and production deployment practices.

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