Agentic AI Systems Intern

Medical Metrics IncHouston, TX
just nowOnsite

About The Position

The Agentic AI Systems Intern will support Medical Metrics, Inc. (MMI) in its initiative to adopt cutting-edge agentic AI tools across the organization. MMI operates an on-premises large language model (LLM) with custom tooling for retrieval-augmented generation (RAG) and text-based workflows, and is actively piloting cloud-based agentic platforms to enable employees to discover their own productivity boosters. The intern will play a hands-on role in rolling out these technologies to employees, developing and customizing LLM integrations using the Model Context Protocol (MCP), and helping to identify AI-driven solutions that improve efficiency, quality, and capability throughout MMI’s operations. This position offers an exceptional opportunity to gain real-world experience at the frontier of applied AI in a growing healthcare technology company.

Requirements

  • Currently enrollment or recent graduate of a BS program in Computer Science, Information Systems, or a related field.
  • Familiarity with LLMs, AI assistants, and agentic AI tools.
  • Demonstrated expertise with REST APIs, Model Context Protocol (MCP), and LLM integrations.
  • Prior exposure to RAG pipelines, prompt engineering, or workflow automation.
  • Proficient with Python, JavaScript, or similar scripting languages.
  • Strong enthusiasm for artificial intelligence, automation, and agentic AI systems.
  • Comfort working in command-line environments and using version control tools such as Git.
  • Ability to learn independently from open-source documentation, technical resources, and community forums.
  • Strong written and verbal communication skills for working with both technical and non-technical stakeholders.
  • Self-motivated with a proactive, entrepreneurial approach to problem-solving.

Responsibilities

  • Familiarize with MMI’s on-premises LLM, Claude Cowork, Claude Code, and associated custom tooling.
  • Research risks and implement security solutions to enable responsible adoption of agentic AI.
  • Support employees across the organization in setting up and effectively using agentic AI tools, including best practices for prompting, skill creation, and workflow automation.
  • Explore and customize open-source plugins to address MMI-specific workflows and stakeholder needs.
  • Develop MCPs and integrations to enable AI-driven data access and tool calls across MMI systems including shared network locations, databases, and SaaS platforms.
  • Research and evaluate third-party AI tools to broaden MMI’s adoption options and inform strategy.
  • Document workflows, configurations, and findings to support knowledge transfer and long-term sustainability of AI initiatives.
  • Comply with corporate policies and procedures and applicable ISO standards.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service