Mandatory skills* Machine Learning/Agentic AI/ GenAI: Extensive experience with Agentic AI/GenAI models, including but not limited to fine-tuning, LoRA (Low-Rank Adaptation), and RAG. Experience with OpenAI API, Hugging Face Transformers, LangChain, or similar GenAI tools is essential. NLP: Proven experience in text processing, metadata tagging, summarization, and entity recognition. Good Java and Python knowledge
Desired skills*
Backend and API Development: Familiarity with building REST APIs to integrate Agentic AI/GenAI models within workflows.
Detailed JD *(Roles and Responsibilities)
Architecture and Development:
Design and implement core components of the AI-based application, including metadata extraction, RAG, redlining.
Develop efficient and robust backend algorithms
Metadata Extraction:
Build and integrate models for key metadata extraction.
Retrieval-Augmented Generation (RAG):
Implement RAG pipelines for handling complex queries.
Redlining and Comparison:
Develop redlining capabilities for real-time tracking and comparison, handling extensive text.
Data Processing and Optimization:
Implement techniques to optimize model performance, focusing on computational efficiency for CPU-based infrastructure.