Agentic AI Intern

EduRankAI invites applications for the position of Agentic AI Intern to join its Artificial Intelligence Research and Autonomous Systems Engineering team. This fulltime internship is designed for students and recent graduates who are passionate about Agentic AI, Large Language Models LLMs, Generative AI, Autonomous AI Systems, AI Agents, MultiAgent Systems, Machine Learning, Prompt Engineering, and nextgeneration intelligent automation. As an Agentic AI Intern, you will contribute to the research, development, evaluation, and optimization of AI agents capable of planning, reasoning, using external tools, and executing multistep workflows that power EduRankAI's autonomous tutoring platform, intelligent research assistants, educational automation, and internal productivity systems. As an Agentic AI Intern, you will collaborate with AI researchers, machine learning engineers, software engineers, and product teams to design, prototype, evaluate, and improve autonomous AI systems. Your responsibilities will include researching modern Agentic AI architectures, studying tooluse and functioncalling capabilities of Large Language Models, building and testing AI agent prototypes, implementing workflow automation, experimenting with planning and reasoning strategies, integrating external APIs and tools, evaluating agent reliability and performance, identifying failure modes, assisting in prompt engineering and retrieval workflows, supporting multiagent collaboration experiments, documenting evaluation methodologies, preparing technical reports, maintaining experiment records, contributing to agent architecture discussions, and supporting the development of safe, scalable, and productionready autonomous AI systems. Applicants should possess a strong understanding of Python programming, Artificial Intelligence, Machine Learning, Large Language Models LLMs, data structures, algorithms, statistics, and software engineering fundamentals. Familiarity with Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, Haystack, OpenAI Agents SDK, or equivalent orchestration frameworks will be considered an advantage but is not mandatory. Knowledge of RetrievalAugmented Generation RAG, prompt engineering, vector databases, embeddings, API integration, function calling, workflow orchestration, Git, REST APIs, SQL, cloud platforms, Docker, experiment tracking, AI evaluation methodologies, or MLOps concepts will also be beneficial. Candidates with academic research, hackathons, opensource contributions, AI competitions, or personal projects involving AI agents, chatbot development, workflow automation, or Generative AI are strongly encouraged to apply. Throughout the internship, participants will receive structured mentorship, continuous technical guidance, code reviews, engineering best practices, and exposure to stateoftheart Agentic AI development workflows. Interns will gain practical experience in autonomous AI systems, LLM orchestration, workflow automation, AI evaluation, prompt engineering, RetrievalAugmented Generation RAG, tool integration, technical documentation, collaborative software development, responsible AI practices, and production AI engineering while contributing directly to live AI research and product development initiatives. We are looking for individuals with exceptional analytical ability, logical reasoning, creativity, research aptitude, curiosity, problemsolving skills, communication skills, attention to detail, ownership, collaboration, adaptability, engineering discipline, and a continuous learning mindset. The internship is primarily conducted onsite at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional, preapproved cases. Applications submitted under EduRankAI's Talent Accessibility Initiative are completely free. This is an unpaid internship intended to provide meaningful industry exposure, structured mentorship, handson Agentic AI experience, professional portfolio development, and opportunities for outstanding performers to be considered for advanced AI research projects, internship extensions, preplacement interviews, research collaborations, or future fulltime opportunities based on performance and organizational requirements. .