AI/ML Intern

Persevex 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 Persevex, 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% Remote

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 Persevex?

• 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 Persevex mission

Industry

• E-Learning Providers

.Employment Type

Full-time