Drive the development and implementation of cutting-edge artificial intelligence solutions that will transform trading, risk management, and client service capabilities
Job Summary
Drive the development and implementation of cutting-edge artificial intelligence solutions that will transform trading, risk management, and client service capabilities.
Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks.
Partner with business stakeholders to identify high-impact use cases for AI implementation and work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements.
Matching Summary
Drive the development and implementation of cutting-edge artificial intelligence solutions that will transform trading, risk management, and client service capabilities.
Skills & Requirements
Must-have
Generative AI and LLMs
Retrieval-Augmented Generation (RAG)
Agentic frameworks and autonomous coding
Python and SQL proficiency
Production-grade AI applications
Nice-to-have
Front end development skills
Domain-specific LLM applications
Multi-agent systems
Collaboration with business stakeholders
Key Requirements
Bachelor's or Master's degree in CS, Data Science, ML, AI, or related quantitative field
Professional experience in AI/ML engineering, software development, or data science
Hands-on experience with generative AI techniques and LLMs (GPT, Claude, Llama, etc.)
Practical experience implementing RAG systems
Experience with agentic frameworks and autonomous coding systems