We are seeking an experienced AI Engineer specializing in multi-agent LLM systems. This role requires a deep understanding of constructing, training, and deploying AI agents that can dynamically execute Python-based functions in response to specified needs. As part of our team, you’ll develop agents that can autonomously select and perform functions based on contextual requirements and work seamlessly within a robust AWS infrastructure.
Responsibilities:
- Design, implement, and deploy AI agents that can autonomously learn to select and execute custom functions using Python.
- Train agents to recognize contextual prompts and determine the necessary function to perform specific tasks, optimizing for accuracy and efficiency.
- Develop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate and collaborate effectively on complex workflows.
- Deploy and manage the multi-agent system within the AWS environment (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience.
- Work closely with cross-functional teams to define function requirements and develop APIs or connectors for seamless task execution.
- Implement strategies to improve model performance in function execution, covering error handling, retry mechanisms, and adaptability to changing requirements.
- Document designs, workflows, and function-specific agent behaviors to support team collaboration and product transparency.
