AI Engineer/Consultant Internship

The SilverLogicBoca Raton, FL
Hybrid

About The Position

BRDGIT LLC, the AI consulting and implementation company of The SilverLogic, is seeking an AI Engineer / Consultant Intern. This role involves working across the full lifecycle of applied AI projects, from understanding client needs and identifying opportunities to designing, building, testing, and supporting real-world AI solutions. The intern will collaborate closely with Sales, AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, gaining hands-on experience in turning business challenges into practical AI strategies and functioning systems. Responsibilities include participating in client discovery, developing AI assessments and implementation plans, building automation workflows and AI integrations, and supporting the delivery of production-ready solutions. This is a highly collaborative, hands-on internship that combines AI consulting, solution design, and technical implementation. Strong communication skills and the ability to explain technical concepts to non-technical audiences are crucial, as the work is client-facing. The internship offers direct exposure to applied AI at The SilverLogic, a seven-time Inc. 5000-ranked company, and its AI company, BRDGIT.

Requirements

  • Genuine interest in AI and its practical business applications.
  • Basic Python and API skills, with familiarity with LLMs or other AI services.
  • Experience with at least one automation or low-code platform such as n8n, Make, Zapier, or similar.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
  • Strong problem-solving, organization, attention to detail, and ability to manage multiple priorities.
  • Curiosity, ownership, adaptability, and a genuine desire to learn.

Nice To Haves

  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with AI tools, frameworks, automations, dashboards, analytics, or data visualization.
  • Exposure to client discovery, consulting, Sales/Pre-Sales, solution planning, or Agile/Scrum environments.
  • Familiarity with how production systems are built, tested, monitored, and maintained.
  • Experience with technologies such as LangChain, FastAPI, PyTorch, or similar AI/ML frameworks.
  • Exposure to model deployment, MLOps, or AI system lifecycle management.
  • Pursuing a degree in Computer Science, Engineering, AI/ML, Data Science, Business, Technology Management, or a related field.
  • Graduate-level coursework or a Master’s degree in a related field.

Responsibilities

  • Participate in client discovery sessions to understand business goals, challenges, and potential AI opportunities.
  • Help develop AI assessments, strategies, blueprints, implementation plans, and supporting documentation.
  • Work with Consultants and Engineers to evaluate AI solutions and translate business needs into actionable plans.
  • Build and maintain AI-powered workflows and automations using tools such as n8n, Make, Zapier, and AI APIs.
  • Assist with developing custom GPTs, prompt workflows, data pipelines, and other AI-powered solutions.
  • Research, test, and benchmark emerging AI tools and technologies for client and internal use.
  • Help test, troubleshoot, and optimize AI solutions for reliability, performance, and maintainability.
  • Support dashboards, reporting, monitoring, and other tools used to measure results and improve solutions.
  • Create clear documentation and handoff materials for internal teams and clients.
  • Work closely with Sales, Consultants, Engineers, and technical leaders throughout the project lifecycle.
  • Communicate progress, findings, and technical concepts clearly to both technical and non-technical audiences.
  • Participate in team workflows and help manage project tasks, priorities, and deliverables.

Benefits

  • Exposure to the entire process of applying AI in a real business environment.
  • Learn both the strategic and technical sides of AI, from talking with clients and defining opportunities to building and implementing solutions.
  • Work alongside experienced consultants, engineers, technical leaders, and AI specialists.
  • Develop skills that can lead toward future careers in AI engineering, AI consulting, solution architecture, technical sales, or AI strategy.
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