Senior Software Engineering - Generative AI & Agentic AI

AT&T AT&T · Telecom · USA:GA:Alpharetta +2

Senior Software Engineer role focused on designing, developing, and deploying Generative AI and Agentic AI solutions, leveraging LLMs, RAG, prompt engineering, and agent orchestration frameworks. The role involves building autonomous AI agents, integrating them with enterprise systems, and optimizing their performance, reliability, and user experience. It also includes establishing best practices for AI development, evaluating emerging technologies, and mentoring team members.

What you'd actually do

  1. Design, develop, and deploy innovative Generative AI and Agentic AI solutions using Python and modern AI engineering frameworks.
  2. Build intelligent applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration frameworks.
  3. Create autonomous AI agents capable of reasoning, planning, tool utilization, decision-making, and multi-step workflow execution.
  4. Integrate AI solutions with enterprise platforms, APIs, databases, cloud services, and business applications.
  5. Develop, test, deploy, and monitor scalable, secure, and production-ready AI/ML applications.

Skills

Required

  • 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.

Nice to have

  • Advanced degree preferred.

What the JD emphasized

  • Generative AI
  • Agentic AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • agent orchestration frameworks
  • autonomous AI agents
  • LangChain
  • LangGraph
  • LangChain.js
  • vector databases
  • embedding models
  • semantic search
  • Model Context Protocol (MCP)
  • tool-enabled AI architectures

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • RAG
  • Agent orchestration