Agentic AI Engineer

Lumen Solutions Group IncAustin, TX
Hybrid

About The Position

Lumen Solutions Group Inc. is seeking an experienced AI/ML Engineer / Autonomous Agent Engineer with 8+ years of hands-on experience in artificial intelligence, machine learning, and advanced data science to design, develop, and deploy production-grade autonomous AI agents and intelligent workflows. The ideal candidate will have a proven track record of building scalable, enterprise-ready AI solutions, including multi-agent systems, agentic workflows, and Retrieval-Augmented Generation (RAG) architectures using vector databases. This role requires deep expertise in context engineering, LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT, and strong proficiency in Python along with leading AI/ML libraries and platforms including OpenAI, Hugging Face, and Azure AI.

Requirements

  • 4+ years of experience in AI/ML engineering or advanced data science.
  • 4+ years of proven track record of building and deploying production-grade autonomous agents.
  • 4+ years of strong experience in context engineering.
  • 4+ years of deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
  • 4+ years of experience implementing RAG architectures using vector databases.
  • 4+ years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).
  • 4+ years of experience integrating LLMs via APIs.
  • 4+ years of knowledge of AI governance, model lifecycle management, and evaluation.
  • 4+ years of experience implementing and extending the Model Context Protocol (MCP).
  • 4+ years of experience implementing AI guardrails, content filtering, and safety controls.
  • 4+ years of understanding of data privacy and handling of sensitive data (PII/PHI).
  • Local Texas Candidates only.

Nice To Haves

  • 2+ years of experience building multi-agent or autonomous agentic workflows.
  • 2+ years of experience optimizing LLM cost, token usage, and performance.
  • 2+ years of familiarity with enterprise AI deployment patterns and scalability consideration.

Responsibilities

  • Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
  • Researching, designing, implementing and managing software programs.
  • Testing and evaluating new programs.
  • Working closely with other developers, UX designers, business and systems analysts.
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