Full Stack - AI Engineer(Data Engineer)

Key Responsibilities

• Develop hybrid Trie + BERT architectures for high-performance entity extraction
• Fine-tune transformer models (BERT, RoBERTa, custom architectures) for domain-specific NLP tasks
• Build and maintain LLM-powered verification systems using GPT-4, Claude, and other models
• Implement RAG (Retrieval-Augmented Generation) pipelines for multi-step LLM orchestration
• Utilize PyTorch or TensorFlow for model development and fine-tuning
• Deploy and manage AI/ML models using Kubernetes and Docker
• Write Python scripts and agent orchestration workflows for model integration and automation
• Collaborate with cross-functional teams to integrate NLP solutions with cloud platforms and APIs
• Ensure scalability, reliability, and performance optimization of deployed systems