LLM Engineer

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.

• →

  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

• 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

• Experience with vector databases and RAG pipelines

• Familiarity with model quantization and inference optimization

• Background in AI safety or content moderation systems