🕒 yesterday
Build and ship production AI agents, LLM workflows, and automation for financial services, improving customer experiences and operations while ensuring systems are reliable, secure, and useful.
LLM Engineer
📅 Jul 20
Large Language ModelsNLPTransformer ArchitecturesPython
📜 Description
- 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
🛠️ 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
Full job description
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
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