4 months ago
Plano, TX, USAIntern
Responsibilities
- Build and integrate pre-trained LLM solutions for conversational AI, summarization, and enterprise knowledge retrieval.
- Implement RAG architectures using structured and unstructured enterprise data.
- Develop and test AI agents, traditional machine learning models, and deterministic logic.
- Build AI-enabled user interfaces, backend APIs, and services.
- Integrate AI solutions with ServiceNow, SAP, Salesforce, and Azure services.
- Develop and maintain data pipelines with preprocessing and quality checks.
- Support testing, debugging, deployment, and monitoring of AI services on Azure.
- Document AI workflows, integrations, and solution lifecycle updates.
- Collaborate with AI, data, and platform teams to deliver production-ready solutions.
Requirements
- Currently pursuing a Master’s degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.
- Must have at least six months remaining before completing the Master’s program at the time of joining.
- At least two years of relevant professional experience between Bachelor’s and Master’s programs is required.
- Prior applied AI or machine learning experience must include hands-on exposure to Generative AI use cases.
- Strong working knowledge of Python is required.
- Experience building or integrating machine learning or Generative AI solutions is required.
- Practical experience with LLMs, prompt engineering, and/or RAG-based architectures is required.
- Experience building APIs with FastAPI, Flask, or Node.js with TypeScript is required.
- Working experience building React-based interfaces and integrating them with backend APIs is required.
- Experience handling structured and unstructured data, including preprocessing or ETL, is required.
- Experience consuming REST APIs and familiarity with cloud platforms, preferably Azure, is required.
- Preferred qualifications include familiarity with NLP, foundational Generative AI models, responsible AI, AI governance, Microsoft Power Platform, or low-code automation tools.
- Strong learning mindset, ownership, communication, and structured problem-solving skills are expected.
Benefits
- Full-time, on-site internship in Plano, Texas.
- Internship duration is 6–12 months, with 12 months preferred depending on academic program constraints.
- The internship is designed to prepare candidates for potential conversion to a full-time AI Engineer role.
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