LLM Model Developer

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: As a GenAI Engineer, you will design, develop, and deploy AI solutions that leverage both traditional machine learning and modern generative AI techniques. You will combine foundational ML engineering fundamentals with a growing expertise in large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks to build scalable, production-ready AI applications. This role bridges applied machine learning with cutting-edge GenAI innovation, while offering opportunities for growth and learning.

Roles & Responsibilities:

• Design and implement applications powered by LLMs, multimodal models, and generative architectures.
• Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases.
• Build retrieval-augmented generation pipelines using vector databases (FAISS, Pinecone, Weaviate).
• Integrate APIs and frameworks (LangChain, LlamaIndex, Semantic Kernel) into production systems.
• Develop and deploy predictive ML models using frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Build and maintain scalable data pipelines in collaboration with data engineers.