Key Responsibilities * **Build Agentic Systems:** Assist in developing autonomous AI agents capable of reasoning, planning, and executing multi\-step tasks. * **Product Development:** Contribute to the end\-to\-end lifecycle of AI\-driven products, from prototyping to testing and deployment. * **Model Integration:** Work with Large Language Models (LLMs), APIs, and frameworks (such as LangChain, LlamaIndex, or custom agent architectures). * **Collaboration:** Participate in daily stand\-ups, code reviews, and brainstorming sessions with senior engineers and product managers. * **Research \& Experimentation:** Test emerging AI tools, libraries, and methodologies to improve existing products. What We Are Looking For (Qualifications) * **Passion for AI:** A strong foundational understanding of AI, machine learning concepts, and modern LLM ecosystems. * **Technical Skills:** Proficiency in Python and familiarity with AI/ML frameworks or agentic frameworks. * **Problem\-Solver:** An inquisitive mindset with the ability to troubleshoot quickly and think outside the box. * **Commitment:** Ability to keep up with a fast\-paced environment and commit to a **Monday–Saturday schedule (8 hours/day)**. * **Education/Background:** Recent graduate, self\-taught developer, or student in Computer Science, Data Science, AI, or a related technical field. Internship Structure \& Timeline * **The 10\-Day Evaluation Project:** All candidates begin with a structured, hands\-on 10\-day practical project to demonstrate their technical capabilities and work ethic. * **Formal Internship:** Candidates who excel during the 10\-day evaluation will be offered a formal, extended internship with mentorship from industry experts and opportunities for long\-term growth. Work Location: Remote