Generative AI Engineer - LLM / RAG

Key Responsibilities :

• Develop and optimize Generative AI models (GPT, LLaMA, Stable Diffusion, DALLE, MidJourney, etc.)
• Fine-tune LLMs and diffusion models to meet specific business needs.
• Implement retrieval-augmented generation (RAG) and integrate AI-powered applications into production.
• Work with prompt engineering, transfer learning, and custom model training.
• Develop and deploy AI models using cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Optimize model performance for scalability, efficiency, and cost-effectiveness.
• Work with vector databases (FAISS, Pinecone, Weaviate) to enhance AI applications.
• Stay updated with the latest trends in AI, deep learning, and NLP and apply research into real-world use cases.

Required Skills & Qualifications :

Preferred Skills :

Why Join Us?

(ref : hirist.tech)