Senior Software Engineer – Generative AI, Agentic AI

AT&T

Senior Software Engineer developing and deploying Generative AI and Agentic AI solutions at AT&T. Collaborating with product and engineering teams for innovative AI solutions.

Posted 7/2/2026full-timeDallas • New Jersey, Texas • 🇺🇸 United StatesSenior💰 $128,400 - $215,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying Generative AI and Agentic AI solutions using Python, with a strong focus on integrating AI technologies into enterprise applications. Proficient in optimizing AI models and collaborating with cross-functional teams to drive AI-driven business outcomes.

Highest-signal resume keywords

Python ProficiencyGenerative AI DevelopmentAgentic AI FrameworksLarge Language Models (LLMs)AI Integration with Enterprise Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering Best PracticesPrompt EngineeringData PreparationModel Context Protocol (MCP)AutoML TechniquesAI Model EvaluationCloud-Native Application DevelopmentData CategorizationAI Monitoring and OptimizationWorkflow Automation

Soft Skills

Problem-SolvingCommunicationCross-Functional Collaboration

Tools & Technologies

LangChainLangGraphLangChain.jsGitHub CopilotChatGPTAskDevPower AutomateNode.js

Certifications & Qualifications

Bachelor's Degree in Computer ScienceAdvanced Degree Preferred

Industry Keywords

Generative AIAgentic AIRetrieval-Augmented Generation (RAG)AI GovernanceResponsible AI Principles

Tech Stack

Tools & technologies

CloudJavaScriptNode.jsPython

About the role

Key responsibilities & impact

Design, develop, and deploy innovative Generative AI and Agentic AI solutions using Python and modern AI engineering frameworks
Build intelligent applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration frameworks
Create autonomous AI agents capable of reasoning, planning, tool utilization, decision-making, and multi-step workflow execution
Integrate AI solutions with enterprise platforms, APIs, databases, cloud services, and business applications
Develop, test, deploy, and monitor scalable, secure, and production-ready AI/ML applications
Optimize models, prompts, and AI agents to improve accuracy, performance, latency, reliability, and user experience
Collaborate with engineering, product, architecture, and business stakeholders to identify opportunities and deliver AI-driven business outcomes
Establish and apply best practices for AI development, including governance, observability, security, compliance, and Responsible AI principles
Evaluate emerging AI technologies and recommend innovative approaches to accelerate enterprise adoption and business value realization
Mentor team members and contribute to the advancement of AI engineering standards, methodologies, and technical excellence

Requirements

What you’ll need

3+ years software Engineering experience
Strong proficiency in Python and software engineering best practices for enterprise application development
Hands-on experience developing and deploying Generative AI solutions using Large Language Models (LLMs) and Prompt Engineering techniques
Expertise with Agentic AI frameworks , including experience building autonomous agents that can reason, plan, and execute tasks
Experience with LangChain , LangGraph , LangChain.js , and other AI orchestration frameworks
Knowledge of Retrieval-Augmented Generation (RAG) architectures, vector databases, embedding models, and semantic search
Experience integrating AI solutions with enterprise data sources, APIs, and systems
Familiarity with Model Context Protocol (MCP) and tool-enabled AI architectures
Experience using AI-powered development tools such as GitHub Copilot , ChatGPT , AskDev
Working knowledge of Node.js for AI application development
Experience with data preparation, data categorization, and establishing data sources for AI applications
Familiarity with AutoML , AI model evaluation, monitoring, and optimization techniques
Experience leveraging Power Automate or similar workflow automation platforms to integrate AI capabilities into business processes
Strong understanding of cloud-native application development, software architecture, and enterprise integration patterns
Excellent problem-solving, communication, and cross-functional collaboration skills
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
Advanced degree preferred.

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