LLM Engineer

Role Summary

KDCI Outsourcing is looking for an LLM Engineer to design, fine-tune, and deploy large language model solutions that solve real business problems. You'll work across the model lifecycle — from prompt and architecture design to evaluation and production monitoring — collaborating with product and engineering teams to ship reliable AI features.

Responsibilities

Design, fine-tune, and optimize large language models for specific use cases; Build and maintain evaluation harnesses to measure model quality and safety; Implement RAG (retrieval-augmented generation) pipelines and prompt strategies; Monitor model performance in production and iterate on improvements; Collaborate with product and engineering teams to integrate LLM features; Stay current with emerging LLM research, architectures, and tooling

Requirements

3+ years of hands-on experience with large language models and NLP; Strong understanding of transformer architectures (GPT, BERT, LLaMA, etc.); Proficiency in Python and ML frameworks such as PyTorch or TensorFlow; Experience with fine-tuning, prompt engineering, and hyperparameter optimization; Track record of deploying ML/LLM systems in production environments

Nice to have

Experience with vector databases and RAG pipelines; Familiarity with model quantization and inference optimization; Background in AI safety or content moderation systems