AI/ML Engineer

Key Responsibilities

• 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