AI Developer (Multi-Agent LLM Systems)

View full description

Requirements:

• 1+ years of experience working with LLMs, focusing on multi-agent systems development.
• Expertise in Python and experience with custom function execution in LLM frameworks.
• Skilled in prompt engineering, model fine-tuning, and dynamic function mapping.
• Experience deploying and managing models in AWS (Lambda, SageMaker, EC2).
• Familiarity with blockchain principles and web3 technologies is a plus.
• Experience developing autonomous agents based on contextual cues.
• Strong documentation skills for effective cross-functional communication.
• Preferred: Experience with reinforcement learning, Docker, Kubernetes, and web3 environments.

Responsibilities:

• Design, implement, and deploy AI agents that autonomously learn to select and execute custom functions using Python.
• Train agents to recognize contextual prompts to determine necessary tasks, optimizing for accuracy and efficiency.
• Develop frameworks for dynamic task assignment in multi-agent systems for effective coordination.
• Deploy and manage systems in AWS using tools like Lambda, SageMaker, and EC2 for scalability.
• Collaborate with teams to define function requirements, develop APIs or connectors for task execution.
• Implement strategies for model performance improvements, covering error handling and adaptability.
• Document designs and workflows for team collaboration and transparency.