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AT&T

Principal Software Engineer – AI-Native

AT&T

AI-Native Software Engineer at AT&T blending Python development with AI integration and intelligent systems. Collaborating with business partners to rapidly deliver high-impact solutions.

Posted 6/2/2026full-timePalo Alto • California, Texas • 🇺🇸 United StatesLead💰 $174,100 - $279,800 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDjangoDockerFlaskGoogle Cloud PlatformNoSQLPythonSQL

About the role

Key responsibilities & impact
  • Partner directly with business stakeholders to understand needs, refine ideas, and translate goals into working software solutions.
  • Operate in a collaborative “2-in-a-box” model, co-owning outcomes from ideation through delivery.
  • Build and integrate AI-powered applications using Python and frameworks such as FastAPI, Flask, or Django.
  • 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 improve agent performance.
  • Use AI coding assistants and agentic development tools as a core part of your workflow for prototyping, refactoring, testing, documentation, and code review.
  • Integrate backend services, APIs, databases, vector stores, third-party platforms, and machine learning systems into robust end-to-end solutions.
  • Implement testing, monitoring, evaluation, logging, and CI/CD practices to improve reliability and system performance.
  • Apply best practices in security, privacy, scalability, and operational resilience across AI and backend systems.

Requirements

What you’ll need
  • A strong ability to work directly with business partners and turn ambiguous ideas into clear, deliverable engineering solutions.
  • Clear communication skills with the ability to explain technical concepts to non-technical audiences.
  • Deep, practical use of AI tools in software development, with examples of how they’ve meaningfully improved your speed, quality, and approach.
  • Experience building AI agents, conversational systems, RAG pipelines, or multi-agent workflows in real-world environments.
  • Strong problem-solving skills, technical curiosity, and a builder mindset.
  • A passion for exploring emerging AI tools and applying them in ways that create real business value.
  • Strong experience in fullstack Python development, including backend frameworks such as FastAPI, Flask, or Django.
  • Experience designing and integrating REST APIs, backend services, and database solutions across SQL and/or NoSQL environments.
  • Hands-on expertise with LLMs, prompt engineering, context engineering, session management, retrieval strategies, and vector search.
  • Experience with LangGraph, MCP, or similar agent orchestration frameworks.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience with Docker, CI/CD pipelines, testing frameworks, and production deployment practices.
  • A strong foundation in secure, scalable, and maintainable software design.

Benefits

Comp & perks
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonFastAPIFlaskDjangoAI toolsREST APIsSQLNoSQLLLMsprompt engineering
Soft Skills
clear communicationproblem-solvingtechnical curiositybuilder mindsetcollaborationability to explain technical conceptspassion for AIworking with business partnersturning ambiguous ideas into deliverable solutionsadaptability