Enterprise AI Engineer Intern – GenAI & LLMs (On-Site)

Black Box

Plano (TX)

On-site

USD 30,000 - 50,000

Full time

2 days ago
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Job summary

Black Box in Plano, Texas is seeking an AI Engineer Intern to contribute to the AI Center of Excellence (CoE). The role focuses on design, development, and integration of applied AI solutions using pre-trained LLMs, traditional ML, and deterministic approaches with enterprise-grade considerations.

You will work on building scalable AI systems and integrating AI capabilities into core business platforms such as ServiceNow, SAP, Salesforce, and Azure services, gaining hands-on experience toward a

Qualifications

  • Master’s student with at least 6 months remaining before graduation.
  • Minimum 2 years of relevant professional experience between Bachelor’s and Master’s programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Available for an on-site, full-time internship for 6–12 months.

Responsibilities

  • Build and integrate AI solutions using pre-trained LLMs for conversational AI and enterprise knowledge retrieval.
  • Develop AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.

Skills

Python
GenAI
LLMs
React
APIs
Azure
REST APIs

Education

Master’s degree in Engineering

Tools

FastAPI
Flask
Node.js
Azure
ServiceNow
SAP
Salesforce
LangChain
n8n

Job description

Black Box in Plano, Texas is seeking an AI Engineer Intern to contribute to the AI Center of Excellence (CoE). The role focuses on design, development, and integration of applied AI solutions using pre-trained LLMs, traditional ML, and deterministic approaches with enterprise-grade considerations.

You will work on building scalable AI systems and integrating AI capabilities into core business platforms such as ServiceNow, SAP, Salesforce, and Azure services, gaining hands-on experience toward a

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