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- Design and Implement Multi-Agent System Architectures: Design and implement multi-agent system architectures that enable autonomous decision-making and collaboration among AI agents.
- Develop Agent-Based Frameworks: Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies.
- Build and Optimize Agent Communication Layers: Build and optimize agent communication layers using APIs, vector databases, and messaging protocols.
- Integrate Large Language Models (LLMs): Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities.
- Collaborate with Cross-Functional Teams: Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions.
- Evaluate System Performance: Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments.
- Practical Experience: Practical experience designing and building multi-agent systems or agent-based architectures.
- Technical Skills: Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace).
- Theoretical Knowledge: Understanding of decentralized control, agent communication protocols, and emergent system design.
- Cloud Experience: Experience with cloud platforms (AWS, GCP, Azure) and API integrations.
- Problem-Solving Skills: Strong problem-solving skills and ability to work independently in a remote startup environment.
AI/ML Intern - Panchkula - Prime Corporate LLP
3 weeks ago
Description
Role Overview
As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation.
Key Responsibilities
Requirements
Career Growth
No formal degree required - your skills, projects, and passion matter most. This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position.
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