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AI / ML Intern

AI / ML Intern

Prime Corporate LLPbaddi, himachal pradesh, in
12 hours ago
Job description

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that

collaborate in multi-agent systems. We create agent-based architectures that enable autonomous

decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the

future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration,

and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and

technical feasibility.

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

  • Design and implement multi-agent system architectures that enable autonomous decision-

making and collaboration among AI agents.

  • Develop agent-based frameworks that support task allocation, communication protocols, and
  • coordination strategies.

  • Build and optimize agent communication layers using APIs, vector databases, and
  • messaging protocols.

  • Integrate large language models (LLMs) and other AI components into agent workflows to
  • enhance capabilities.

  • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.).
  • Collaborate closely with product, engineering, and research teams to translate business
  • requirements into technical solutions.

  • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production
  • environments.

  • Continuously research and apply the latest advances in multi-agent systems, decentralized
  • AI, and autonomous agents.

  • Document architecture designs, workflows, and implementation details clearly for team
  • collaboration and future reference.

    What We’re Looking For :

  • Practical experience designing and building multi-agent systems or agent-based
  • architectures.

  • Proficiency in Python and familiarity with AI / ML frameworks (e.g., LangChain, AutoGen,
  • HuggingFace).

  • Understanding of decentralized control, agent communication protocols, and emergent
  • system design.

  • Experience with cloud platforms (AWS, GCP, Azure) and API integrations.
  • Strong problem-solving skills and ability to work independently in a remote startup
  • environment.

  • No formal degree required - your skills, projects, and passion matter most.
  • Location - 100% Onsite

    Experience - 0-1 year

    Compensation Structure :

    This role follows a structured pathway designed to prepare candidates for the responsibilities of a

    full-time position.

  • Pre-Qualification Internship (Mandatory) :
  • Duration : 2 months
  • Stipend : ₹5,000 / month
  • Objective : To evaluate foundational skills, work ethic, and cultural fit within the
  • organization.

  • Internship (Mandatory)
  • Duration : 4 months
  • Stipend : ₹5,000–₹15,000 / month (based on performance during the pre-qualification
  • internship)

    Why Join Prime Corporate?

  • Work remotely with a passionate, innovative startup.
  • Contribute to pioneering multi-agent AI systems shaping the future of autonomous
  • technology.

  • Grow your career from internship to full-time with competitive pay and equity opportunities.
  • Career Growth : Prove your potential and secure a full-time role with competitive
  • compensation.

    Note : This is not a direct full-time job opportunity. Candidates must commit to our mandatory two-

    stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you!

    Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission!

    1.Industry Software Development

    2. Employment Type

    3.Internship

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    Intern • baddi, himachal pradesh, in

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