Model Implementation:
Take ownership of Large Language Models (LLM) and Small Language Models (SLM).
Python Development:
Build and maintain high-performance solutions using a custom Python stack.
System Engineering:
Execute complex tool chaining and develop sophisticated system prompts to optimize AI output.
Performance Excellence:
Contribute to a project that offers potential for long-term client absorption based on individual performance after the initial six-month period.
Required Skills & Expertise
AI/ML:
Direct experience with LLMs and SLMs.
Programming:
Advanced proficiency in custom stack Python development.
Orchestration:
Hands-on experience with tool chaining and system prompt engineering.
Domain:
Interest or experience in financial technology and capital markets