AI-Native Software Engineer Analyst, Full-Stack Python
AT&T
About the role
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
Launch your software engineering career at the intersection of Python, full-stack development, and Generative AI.
We are seeking a motivated, early-career AI-Native Software Engineer who is excited to build modern software solutions while learning how artificial intelligence is changing the way applications are designed, developed, tested, and delivered.
No prior professional experience is required. This opportunity is designed for recent graduates and emerging engineers whose experience may come from coursework, internships, hackathons, research, open-source contributions, or personal projects.
You'll work alongside experienced engineers, product partners, and business stakeholders to solve real business problems while gaining hands-on exposure to Python, APIs, LLMs, prompt and context engineering, RAG, AI agents, LangGraph, and Model Context Protocol (MCP).
We're looking for someone curious, hands-on, collaborative, and ready to learn quickly.
What You'll Do:
Build and enhance modern applications using Python, APIs, databases, and user-facing technologies.
Develop backend services and integrations using frameworks such as FastAPI, Flask, or Django.
Use AI coding assistants and LLM-powered development tools to support coding, testing, debugging, research, and documentation.
Explore and contribute to solutions using Generative AI, large language models (LLMs), prompt engineering, RAG, embeddings, vector search, knowledge retrieval, and AI agents.
Gain hands-on experience with emerging agentic technologies such as LangGraph and Model Context Protocol (MCP).
Partner closely with engineering, product, and business stakeholders to translate business challenges into practical technology solutions.
Work within a collaborative "2-in-a-box" model, where engineering and business partners jointly shape solutions, priorities, and outcomes from concept through delivery.
Participate in solution design, demonstrations, planning sessions, code reviews, and technical discussions.
Write tests, troubleshoot applications, document your work, and contribute to reliable deployment practices.
Review and validate AI-generated code and content rather than accepting generated outputs at face value.
Follow established practices for secure coding, data privacy, application reliability, logging, and responsible AI development.
Learn from feedback, ask questions, take ownership, and continuously expand your technical capabilities.
What You'll Bring:
A genuine interest in becoming an AI-native software engineer and learning how Generative AI can improve the software development lifecycle.
Foundational programming knowledge, particularly with Python, developed through coursework, internships, academic work, or personal projects.
Understanding of core software engineering concepts such as data structures, algorithms, object-oriented programming, testing, debugging, and version control.
Familiarity with APIs, HTTP, JSON, databases, and web application fundamentals.
Curiosity about LLMs, AI agents, prompt engineering, RAG, AI-assisted coding, or Generative AI applications.
A willingness to experiment with new technologies while thoughtfully reviewing and validating results.
Strong problem-solving skills and an eagerness to tackle unfamiliar technical challenges.
The ability to collaborate with both technical and non-technical partners.
A growth mindset with the confidence to ask questions, receive feedback, take initiative, and learn quickly.
What You'll Need:
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical field.
0 years of professional experience required. Recent graduates and candidates nearing completion of their degree are encouraged to apply.
Hands-on exposure to Python through coursework, internships, academic projects, hackathons, open-source contributions, or personal development projects.
Foundational understanding of software development and web application concepts.
Exposure to one or more of the following is a plus:
Backend: Python, FastAPI, Flask, Django
Frontend: JavaScript, TypeScript, React, Angular, HTML, CSS
AI/GenAI: LLMs, prompt engineering, RAG, embeddings, vector databases, semantic search, knowledge retrieval
Agentic AI: AI agents, LangGraph, agent orchestration, MCP
Development: Git, GitHub, unit testing, CI/CD, Docker
Cloud: Azure, AWS, or Google Cloud
Hackathons, research, technical clubs, open-source communities, or independent coding projects
You do not need experience with every technology listed. We're looking for strong fundamentals, demonstrated curiosity, and people who are excited to learn and grow.
Why Join?
This is an opportunity to begin your engineering career on a team where AI is part of how software gets built, not simply a feature added at the end.
You'll develop strong full-stack software engineering fundamentals while gaining practical experience with Generative AI, LLM applications, agentic AI, and emerging development practices. If you're excited to build, experiment, collaborate, and grow in a fast-moving engineering environment, we'd like to hear from you.
Our Analyst Data/AI Engineering jobs earn between $77,800.00 - $130,800.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
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
Weekly Hours:
40
Time Type:
Regular
Location:
Alpharetta, Georgia, USA:GA:Atlanta / 1057 Lenox Park Blvd Ne - Adm:1057 Lenox Park Blvd Ne, USA:TX:Dallas / 208 S Akard St - Concourse:208 S Akard St @ Concourse, USA:WA:Bothell / 20309 North Creek Pkwy - Adm (bothell 7):20309 N Creek Pkwy @ Bldg L
Salary Range:
$77,800.00 - $130,800.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
Responsibilities
- Build and enhance applications using Python, APIs, databases, and user-facing technologies.
- Develop backend services and integrations with frameworks such as FastAPI, Flask, or Django.
- Explore and contribute to generative AI, LLM, RAG, and agent-based solutions.
- Collaborate with engineering, product, and business partners to deliver technology solutions.
- Write tests, troubleshoot applications, document work, and support reliable deployments.
- Review and validate AI-generated code and content while following secure coding and responsible AI practices.
Qualifications
- Bachelor's degree in computer science, software engineering, information technology, data science, or a related technical field.
- Foundational Python programming experience through coursework, internships, projects, or other hands-on work.
- Understanding of software engineering fundamentals, including data structures, algorithms, testing, debugging, and version control.
- Familiarity with APIs, HTTP, JSON, databases, and web application fundamentals.
- Interest in generative AI, LLMs, AI agents, prompt engineering, or RAG.
- Strong problem-solving, collaboration, and willingness to learn.
Benefits
- Medical, dental, and vision coverage
- 401(k) plan
- Tuition reimbursement
- At least 23 vacation days and 9 company-designated holidays
- Paid parental and caregiver leave
- Adoption reimbursement
- Short- and long-term disability benefits
- Life and accidental death insurance
- Supplemental benefits, including critical illness, accident, hospital indemnity, and group legal coverage
- Employee assistance and wellness programs
- Discounts on eligible AT&T mobility, internet, and phone services
Skills mentioned
About AT&T
We understand that our customers want an easier, less complicated life. We’re using our network, labs, products, services, and people to create a world where everything works together seamlessly, and life is better as a result. How will we continue to drive for this excellence in innovation? With you. Our people, and their passion to succeed, are at the heart of what we do. Today, we’re poised to connect millions of people with their world, delivering the human benefits of technology in ways that defy the imaginable. What are you dreaming of doing with your career? Find stories about our talent, career advice, opportunities, company news, and innovations here on LinkedIn. To learn more about joining AT&T, visit: http://www.att.jobs We provide in some of our posts links to articles or posts from third-party websites unaffiliated with AT&T. In doing so, AT&T is not adopting, endorsing or otherwise approving the content of those articles or posts. AT&T is providing this content for your information only.
H-1B sponsorship history
Historical employer filing data was found for AT&T. The employer record includes 2,597 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.