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

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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
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

Highlights

Build and deploy cutting-edge LLM solutions using AI, RAG, and modern ML frameworks.

Originally posted on Himalayas