Research Developer, Generative AI Agents

About Us

We are a technology-driven startup exploring the future of AI-powered agents and automation. Our mission is to build scalable solutions using cutting-edge Generative AI, LLMs, and autonomous agents that solve real-world problems.

Role Overview

As a Research Intern, you will dive deep into the world of Generative AI agents, large language models (LLMs), and autonomous multi-agent systems. You’ll help us map the landscape, explore technical capabilities, evaluate tools, and contribute to prototype development.

Key Responsibilities

• Conduct comprehensive research on Generative AI agents, LLM-based agents, and autonomous agent frameworks.
• Analyze recent papers, blogs, GitHub projects, and industry updates related to AI agents.
• Benchmark and compare agent frameworks and toolkits for performance, capabilities, and real-world applications.
• Support the team in prototyping basic agent workflows and simulations.
• Prepare detailed reports, documentation, and presentation materials for internal knowledge sharing.
• Identify gaps, opportunities, and potential use cases for AI agents in specific industries (e.g., e-commerce, finance, customer support).
• Assist in writing proof-of-concept code (Python, JS, or any relevant language) to test different agent architectures.

Qualifications

• Pursuing a degree in Computer Science, AI/ML, Data Science, or a related field.
• Strong interest in AI, LLMs, and multi-agent systems.
• Knowledge of Generative AI concepts, OpenAI APIs, Lang Chain, Llama Index, or similar tools (Bonus if hands-on).
• Experience with Python and familiarity with prompt engineering or fine-tuning models is a plus.
• Ability to read and summarize research papers effectively.
• Excellent analytical, writing, and presentation skills.
• A curious mindset, willing to experiment, learn, and share knowledge.