Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics
Job Summary
Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities.
Matching Summary
Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
Skills & Requirements
Must-have
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
Agentic AI architecture
knowledge graph analytics
Python or Java
AI/ML/NLP software packages
Nice-to-have
familiarity with financial markets
innovative approaches to detection
collaborate with stakeholders
Key Requirements
Master's or PhD degree
10+ years of industry experience
Adherence to SDLC principles
Experience with Vector Stores, Linux, SPARQL, Graph Databases