Riverside Research is looking to design, develop, and implement agentic AI systems that can operate autonomously in complex environments to solve challenging technical problems in the national security domain.
Requirements
- Proven experience in AI development, particularly with agent-based systems and machine learning frameworks and A2A and MCP standards.
- Strong programming skills in languages such as Python, Java, or C++.
- Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch) and tools for system simulation and modeling.
- Experience with multi-agent systems and game theory.
- Knowledge of ethical AI frameworks and regulations.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) and DevOps practices.
- Active Secret clearance and ability to obtain Top Secret Security Clearance with SCI and ability to obtain necessary program clearances
Responsibilities
- Design and develop agentic AI systems with a focus on autonomy, efficiency, and ethical considerations.
- Collaborate with data scientists and software developers to create scalable AI algorithms and architectures.
- Conduct research on the latest advancements in AI, particularly in agent-based systems, reinforcement learning, and decision-making frameworks.
- Propose innovative solutions to challenging problems in the domain of agentic AI.
- Develop and implement testing protocols to evaluate the performance and reliability of AI systems.
- Analyze system behavior and make recommendations for improvements based on empirical data.
- Work closely with stakeholders, including product managers, to understand requirements and translate them into technical specifications.
Other
- All Riverside Research opportunities require U.S. Citizenship.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, both written and verbal
- Present findings and project updates to technical and non-technical audiences.
- Ensure that all AI systems comply with ethical guidelines and regulations, focusing on transparency, accountability, and user safety.
