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