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.
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.