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