Medior AI Engineer

At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one.

Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities.

AT&T is building a new era of intelligent automation. We are looking for a Medior AI Engineer who combines solid, hands-on technical expertise with experience in developing and testing AI solutions. The ideal candidate will have AI engineering expertise to support the senior team in developing, integrating, and maintaining production-ready intelligent systems.

Experience with full-stack Python, agentic frameworks (e.g., LangGraph, LangSmith), Model Context Protocol (MCP), prompt engineering, context engineering, harness engineering, Retrieval-Augmented Generation (RAG), large language models (LLMs), fine-tuning, and machine learning.

Big plus: Experience with modern data stack technologies (e.g., Databricks, Snowflake) for pipeline integration and scalable deployment.

As a Medior AI Engineer, you will help develop, deploy, and maintain context-driven, production-ready AI solutions that transform how entire organizations work and deliver value. You’ll leverage the power of LLMs and next-gen AI agents to automate workflows, contributing to improved productivity and efficiency. Your work will support the adoption of autonomous AI agents, enabling smarter operations and seamless data pipelines.

• →

  Collaborate with lead and senior engineers to understand requirements and translate them into implementable AI solutions.

• →

  Help develop and test scalable agentic AI solutions, including the backend infrastructure required for seamless end-to-end deployment.

• →

  Help implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness, context handling, and overall agent performance.

• →

  Participate in code reviews, contribute to best practices, and improve documentation and code quality through feedback and collaboration with senior engineers.

• Hands-on experience with full-stack Python development (FastAPI, Flask; SQL/NoSQL databases).

• Hands-on experience with agentic frameworks such as LangGraph and LangSmith, including prompt engineering, context engineering, harness engineering, MCP, RAG, large language models (LLMs), fine-tuning, and machine learning.

• Experience contributing to AI agent solutions deployed in production systems.

• Working experience with cloud infrastructure, containerization (Docker), and CI/CD practices.

• Working experience with AI-powered IDEs and tools such as Visual Studio, GitHub Copilot, Windsurf, Cursor, etc.

• Good analytical, problem-solving, and communication skills.

Bachelor level degree or equivalent in Computer Science, or related field of study. 

This is a hybrid-flex worker position where our preference is for you to be present with your team in the office at least 2 days per week.   

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.