A technology company in Bengaluru is seeking a skilled professional to take ownership of Large Language Models and Small Language Models. The role involves building high-performance Python solutions and optimizing AI outputs through complex tool chaining. Candidates should have experience with AI/ML technologies, programming in Python, and an interest in financial technology. This position offers potential for long-term client engagement based on individual performance after six months.
Qualifications
Direct experience with Large Language Models and Small Language Models.
Advanced proficiency in Python development within a custom stack.
Hands-on experience in orchestration and system prompt engineering.
Interest or experience in financial technology and capital markets.
Responsibilities
Take ownership of Large Language Models and Small Language Models.
Build and maintain high-performance solutions using a custom Python stack.
Execute complex tool chaining and develop sophisticated system prompts.
Performance Excellence: Contribute to a project with potential for long-term client absorption based on individual performance after six months.
Skills
Direct experience with LLMs and SLMs
Advanced proficiency in custom stack Python development
Hands-on experience with tool chaining and system prompt engineering
Interest or experience in financial technology and capital markets
Job description
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