Remote Otter LogoRemoteOtter

AI/RL Engineer - Remote

Posted Yesterday
Software Development
Full Time
Greece

Overview

We are seeking a highly motivated and experienced AI/RL Software Engineer to join our team. The ideal candidate will have a strong background in Python programming and a deep understanding of machine learning, reinforcement learning techniques and practical experience integrating LLMs and coordinating modular agents using Message Control Protocol (MCP).

In Short

  • 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
  • Conduct thorough evaluations of model performance using appropriate experimental design and statistical analysis
  • Write clean, maintainable and well-documented code
  • Troubleshoot and debug complex software issues
  • Participate in code reviews and ensure the code quality of your team

Requirements

  • Strong background in Python programming
  • Deep understanding of machine learning and reinforcement learning techniques
  • Practical experience integrating LLMs
  • Experience with Message Control Protocol (MCP)
  • Ability to conduct statistical analysis
  • Experience in writing clean and maintainable code
  • Problem-solving skills to troubleshoot complex issues
  • Experience in participating in code reviews

Benefits

  • Opportunity to work on innovative AI projects
  • Collaborative team environment
  • Professional development opportunities
  • Flexible working hours
  • Competitive salary package

AI2CYBER

AI2CYBER

AI2CYBER is an innovative technology company focused on advancing artificial intelligence and machine learning solutions. The company specializes in developing cutting-edge reinforcement learning algorithms and integrating large language models to enhance agent reasoning and human-machine interactions. With a commitment to solving complex real-world problems, AI2CYBER emphasizes collaboration and modularity in its AI systems, utilizing protocols like Message Control Protocol (MCP) to enable coordinated behavior across multiple agents. The team is dedicated to maintaining high standards of code quality and performance evaluation, ensuring that their solutions are both effective and reliable.

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