3 months ago
Plano, TX, USAIntern
Responsibilities
- Build and integrate pre-trained LLM solutions for conversational AI, summarization, and enterprise knowledge retrieval.
- Implement RAG architectures connecting LLMs with structured and unstructured enterprise data.
- Develop and test AI agents, traditional machine learning models, and deterministic logic.
- Build AI-enabled user interfaces, backend APIs, services, data pipelines, and quality checks.
- Integrate solutions with ServiceNow, SAP, Salesforce, and Azure services.
- Support orchestration, workflow automation, testing, debugging, deployment, and monitoring of AI services.
- Document AI workflows, integrations, and solution lifecycle updates.
- Collaborate with AI, data, and platform teams on production-ready enterprise AI solutions.
Requirements
- Currently pursuing a Master’s degree in Engineering or a related field such as Computer Science, Artificial Intelligence, or Data Science.
- Have at least six months remaining before completing the Master’s program at the time of joining.
- Have 2+ years of relevant professional experience between Bachelor’s and Master’s programs.
- Have prior applied AI or machine learning experience with hands-on Generative AI exposure.
- Be available for a full-time, on-site internship lasting at least 6–12 months, depending on academic program constraints.
- Have strong working knowledge of Python and experience building or integrating ML or Generative AI solutions.
- Have practical experience with LLMs, prompt engineering, or RAG-based architectures.
- Have backend API experience with FastAPI, Flask, or Node.js with TypeScript.
- Have experience building React-based user interfaces and integrating them with backend APIs.
- Have experience handling structured and unstructured data, including preprocessing or ETL.
- Have experience consuming REST APIs and familiarity with cloud platforms, preferably Azure.
- Preferred qualifications include NLP knowledge, familiarity with foundational Generative AI models, responsible AI and governance awareness, and exposure to Microsoft Power Platform or low-code automation tools.
Benefits
- Full-time, on-site internship in Plano, Texas, lasting 6–12 months, with 12 months preferred.
- The internship is designed to prepare candidates for potential conversion to a full-time AI Engineer role.
- Opportunity to work on production-ready enterprise AI solutions with experienced AI engineers and cross-functional teams.
Tech Stack
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