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Role SummaryKDCI 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.Key ResponsibilitiesDesign, fine-tune, and optimize large language models for specific use casesBuild and maintain evaluation harnesses to measure model quality and safetyImplement RAG (retrieval-augmented generation) pipelines and prompt strategiesMonitor model performance in production and iterate on improvementsCollaborate with product and engineering teams to integrate LLM featuresStay current with emerging LLM research, architectures, and toolingRequirements3+ years of hands-on experience with large language models and NLPStrong understanding of transformer architectures (GPT, BERT, LLaMA, etc.)Proficiency in Python and ML frameworks such as PyTorch or TensorFlowExperience with fine-tuning, prompt engineering, and hyperparameter optimizationTrack record of deploying ML/LLM systems in production environmentsNice-to-HavesExperience with vector databases and RAG pipelinesFamiliarity with model quantization and inference optimizationBackground in AI safety or content moderation systems
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