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. Key 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 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-Haves Experience with vector databases and RAG pipelines Familiarity with model quantization and inference optimization Background in AI safety or content moderation systems Highlights Build and deploy cutting-edge LLM solutions using AI, RAG, and modern ML frameworks. Originally posted on Himalayas