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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineering - Generative AI & Agentic AI - **Company:** AT&T Inc. - **Location:** Middletown Township, NJ, United States - **Experience:** Expert - **Salary:** $128,400.0 - $215,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Software, Cloud Engineering, Information Systems, Databases, Data Cleansing, Programming Tools, Python (Programming Language), Machine Learning, Node.Js, Software Architecture, Cloud Services, Search Technologies, Software Construction, Software Engineering, Systems Integration, Enterprise Application Integration, Enterprise Software Applications, Microsoft Power Automate, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Low Latency, Optimization Algorithms, Virtual Agents, GPT - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c5af1e0aafe001ad ## About the Role * 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. #LI-Onsite - Full-time office role- ## Description * 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. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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