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🔍 Artificial Intelligence
- 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.
- 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.
AWSDockerPythonBlockchainKubernetesMachine Learning
Posted 9 days ago
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