Principal AI-Native Software Engineer - Fullstack Python

AT&T Inc.
Palo Alto, CA, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$174,100.0 - $279,800.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Continuous Integration Cursor (Graphical User Interface Elements) Distributed Systems Django Web Framework Memory Management Python (Programming Language) NoSQL
+22 more
Open Source Technology Performance Tuning Software Architecture Search Technologies Software Engineering SQL Databases Web Application Frameworks Google Cloud Enterprise Software Applications GitHub Copilot Flask (Web Framework) Large Language Models Multi-Agent Systems Prompt Engineering Backend Fastapi AngularJS Information Technology Front End Software Development Virtual Agents Api Design Docker

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

We are seeking an AI-Native Software Engineer (Principal Software Engineer) who combines software engineering expertise, AI agent development, and strong business partnership skills. This is not a traditional developer role-you will work directly with business stakeholders to rapidly transform ideas into production-ready solutions using AI-augmented development practices.

The ideal candidate has deeply integrated AI tools into their daily engineering workflow and can demonstrate how AI has fundamentally improved the speed, quality, and impact of their work.

What You’ll Do

  • Partner directly with business leaders and stakeholders to define requirements and deliver solutions in real time.
  • Design, build, and deploy AI-powered applications leveraging LLMs, agentic workflows, and RAG architectures.
  • Develop and orchestrate intelligent agents using frameworks such as LangGraph and MCP.
  • Build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
  • Design prompt and context engineering strategies, including retrieval, memory management, personalization, and vector search.
  • Integrate AI systems with enterprise applications, data sources, vector databases, and third-party services.
  • Implement testing, monitoring, security, and CI/CD practices to ensure reliable, scalable solutions.
  • Continuously evaluate and adopt emerging AI tools to accelerate development and improve engineering outcomes.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 8+ years of software engineering experience.
  • Proven experience building AI-enabled applications and agent-based systems in production.
  • Strong expertise in Python development, API design, and backend architecture.
  • Hands-on experience with LLMs, prompt engineering, context engineering, and RAG.
  • Experience with LangGraph, MCP, or similar agent orchestration frameworks.
  • Experience with SQL/NoSQL databases, cloud platforms (AWS, Azure, GCP), containers (Docker), and CI/CD pipelines.
  • Ability to translate complex business challenges into technical solutions and communicate effectively with both technical and non-technical audiences.

What You’ll Bring

  • An AI-first mindset with deep adoption of AI-assisted development tools such as GitHub Copilot, Cursor, Claude, or similar platforms.
  • Demonstrated success partnering directly with business leaders to shape and deliver outcomes.
  • Experience deploying and scaling AI solutions, including multi-agent systems and advanced retrieval architectures.
  • Strong analytical, problem-solving, and systems-thinking skills.
  • Preferred experience in:
  • Vector databases and semantic search
  • Knowledge retrieval and NLP systems
  • LLM evaluation, tuning, or serving
  • Distributed systems and scalable AI architectures
  • Front-end technologies (Angular or similar)
  • Open-source AI or agent development contributions

Benefits & conditions

Our Principal Software Engineering jobs earn between $174,100.00 - $279,800.00 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.disabledperson.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

4:29 min

Implementing AI assistants for workplace productivity

Markus Hacker Markus Hacker +1 · WWC 2025

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all