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