LLM Research Intern

ProCogia is a data and AI consulting firm that helps organizations transform complex technology challenges into measurable business outcomes. The company is seeking an LLM Research Intern to conduct hands-on research and engineering involving large language model adaptation, evaluation, optimization, and deployment for specialized enterprise use cases.

Responsibilities:

• Assess domain-specific datasets and determine the right adaptation approach across fine-tuning, continued pretraining, RAG, or hybrid strategies
• Establish baseline performance and measure whether model adaptations produce meaningful, defensible improvements
• Curate, clean, deduplicate, structure, and quality-filter datasets for training and evaluation
• Fine-tune open-weight LLMs using techniques such as LoRA, QLoRA, PEFT, and multi-adapter approaches
• Support training and experimentation across single-GPU and distributed multi-GPU environments
• Design rigorous evaluation frameworks covering factuality, reasoning, grounding, robustness, domain performance, and failure modes
• Apply public benchmarks and build task-specific evaluation datasets and metrics where standard benchmarks are insufficient
• Compare models, prompting strategies, retrieval methods, and adaptation techniques through controlled experiments
• Analyze trade-offs across model quality, accuracy, latency, memory, GPU utilization, token usage, compute requirements, and cost
• Improve model reliability by evaluating RAG, grounding, reranking, guardrails, hallucination-reduction techniques, and inference optimization
• Research emerging models, papers, datasets, benchmarks, and techniques, and communicate findings through reproducible experiments, documentation, demos, and presentations