LLM Engineering Intern
Ve3
Posted on Feb 16, 2026
About Us
VE3 is a technology and business consultancy focused on delivering end-to-end technology solutions and products. We have successfully serviced enterprises across multiple markets, including the public and private sectors. Our services span all aspects of business, providing a holistic approach to managing an organization. We are committed to providing technical innovations and tools that empower organizations with critical information to facilitate decision-making that results in business transformation through cost savings and increased operational efficiency. Our commitment to quality is adopted throughout the organization and sets the foundation for delivering our full suite of capabilities.
Job Description
Job title: LLM Engineering Intern
Requirements
What You'll Do:
• Work on interesting client projects, implementing explainability frameworks (RAGAS) for AI model outputs
• Build RAG (Retrieval-Augmented Generation) systems for geoscience document automation
• Fine-tune open-source LLMs using LoRA/QLoRA for domain-specific NLP applications
• Design and implement embedding pipelines and vector database architectures to support enterprise knowledge management
• Assist in optimizing LLM performance for accuracy, latency, and cost efficiency
• Participate in system architecture reviews to ensure scalable, secure, and production-ready LLM deployment
• Document experiments, model configurations, and evaluation results
Requirements:
• MTech / MSc in NLP, AI/ML, or related field (current student or recent grad)
• Strong Python skills and experience with Transformers library (Hugging Face)
• Academic project experience with LLMs, fine-tuning, or NLP tasks
• Understanding of modern LLM techniques (prompt engineering, RAG, fine-tuning)
• Bonus: Experience with vector databases, embedding models, or LLM serving (vLLM, Ollama)What You'll Learn
• Production LLM deployment for offshore wind sector clients
• RAG architecture for enterprise geoscience knowledge management
• LLM evaluation and quality control (RAGAS, human-in-the-loop validation)
• AI systems architecture for LLM deployment under Technical Architect mentorship
What You'll Learn:
• Production LLM deployment for offshore wind sector clients
• RAG architecture for enterprise geoscience knowledge management
• LLM evaluation and quality control (RAGAS, human-in-the-loop validation)
• AI systems architecture for LLM deployment under Technical Architect mentorship
Benefits
- Competitive salary and benefits package.
- Opportunities for professional development and certification.
- Flexible working arrangements and a collaborative team environment.