AI Developer (LLM and Python)

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Requirements:

• 1+ years of experience working with LLMs, focusing on developing function-driven multi-agent systems.
• Expertise in Python and custom function execution within LLM frameworks; skilled in prompt engineering and dynamic function mapping.
• Experience with AWS tools such as Lambda, SageMaker, and EC2 for model deployment and management.
• Familiarity with blockchain principles and web3 technologies is advantageous.
• Demonstrated problem-solving skills in developing autonomous agents for task selection.
• Strong documentation skills for clear communication of workflows.

Responsibilities:

• Design, implement, and deploy AI agents that autonomously learn to select and execute custom functions using Python.
• Train agents to recognize contextual prompts and determine necessary functions for specific tasks, optimizing for accuracy and efficiency.
• Develop frameworks for dynamic task assignment within multi-agent systems for effective coordination and collaboration.
• Deploy and manage multi-agent systems within AWS (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience.
• Collaborate with cross-functional teams to define function requirements and develop APIs or connectors for task execution.
• Implement strategies to improve model performance in function execution, including error handling and adaptability.
• Document designs, workflows, and function-specific agent behaviors to support team collaboration.