LLM Engineer

KDCI Outsourcing; Pasig; On-site; PHP 1,000,000 - 2,000,000; Full time

Job summary

KDCI Outsourcing is seeking an LLM Engineer to design, fine-tune, and deploy large language model solutions across the model lifecycle. You will collaborate with product and engineering teams to ship reliable AI features from prompt design to production monitoring.

Ideal candidates have 3+ years of hands-on NLP/LLM experience, strong transformer knowledge, and proficiency in Python with PyTorch or TensorFlow.

Qualifications

• 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.

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

Skills

LLM/NLP experience

Transformer architectures

Python

PyTorch

TensorFlow

Fine-tuning

Prompt engineering

Hyperparameter optimization

Production ML/LLM

Tools

PyTorch

TensorFlow

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.

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

• 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