AI2CYBER

AI Engineer

• Develop novel reinforcement learning algorithms to solve complex, real-world problems.
• Integrate Large Language Models (LLMs) to enhance agent reasoning, threat intelligence, or human-machine interactions.
• Implement and extend Message Control Protocol (MCP) to enable coordinated behavior across modular AI components or multi-agent systems.
• Prototype new methods and help transition successful prototypes into deployed solutions.
• Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate and deploy RL models in production.
• Conduct thorough evaluations of model performance using appropriate experimental design and statistical analysis.
• Write clean, maintainable and well-documented code.
• Participate in code reviews and ensure the code quality of your team.
• Troubleshoot and debug complex software issues.