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.
Key Responsibilities
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Design, fine-tune, and optimize large language models for specific use cases
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Build and maintain evaluation harnesses to measure model quality and safety
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Implement RAG (retrieval-augmented generation) pipelines and prompt strategies
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Monitor model performance in production and iterate on improvements
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Collaborate with product and engineering teams to integrate LLM features
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Stay current with emerging LLM research, architectures, and tooling
Requirements
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3+ years of hands-on experience with large language models and NLP
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Strong understanding of transformer architectures (GPT, BERT, LLaMA, etc.)
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Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
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Experience with fine-tuning, prompt engineering, and hyperparameter optimization
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Track record of deploying ML/LLM systems in production environments
Nice-to-Haves
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Experience with vector databases and RAG pipelines
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Familiarity with model quantization and inference optimization
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Background in AI safety or content moderation systems
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