LLM Application Engineer

Role Overview :

We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.G., LoRA), and model quantization techniques for deployment efficiency.

Key Responsibilities :

• Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.
• Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.
• Fine-tune pre-trained language models using LoRA or similar methods.
• Apply quantization and optimization strategies to deploy models efficiently on constrained environments.
• Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.
• Monitor, evaluate, and continuously improve model performance and reliability.

Required Skills :

Preferred Skills :