AI AGENTS & AGENTIC SYSTEMS ENGINEERING INTERN

About the program About the Program EduRankAI is an Artificial Intelligence, Education Technology, Research, and Enterprise Technology organization developing intelligent digital platforms, enterprise software, and technology solutions for academia, industry, government, and global organizations. The AI Agents Agentic Systems Engineering Internship provides practical exposure to designing and developing autonomous AI systems capable of planning, reasoning, decisionmaking, tool utilization, workflow orchestration, and multistep task execution. Interns will contribute to the development of intelligent AI agents that automate complex workflows, integrate external tools and services, interact with enterprise systems, and solve realworld problems across diverse domains. Working alongside artificial intelligence, machine learning, software engineering, data science, and research teams, interns will gain handson experience in building intelligent agents, multiagent systems, workflow orchestration pipelines, memory architectures, planning mechanisms, tool integration frameworks, and enterprise AI automation platforms while strengthening their understanding of nextgeneration AI systems. Key Responsibilities Assist in developing autonomous AI agents for enterprise applications. Design and implement agent workflows and reasoning pipelines. Support planning, task decomposition, and execution strategies. Develop tool integration and functioncalling workflows. Build memory and contextual reasoning mechanisms. Participate in multiagent collaboration and coordination projects. Assist in integrating AI agents with enterprise software and APIs. Evaluate agent performance, reliability, and execution quality. Support workflow automation and intelligent process optimization. Prepare technical documentation, datasets, and engineering reports. Collaborate with AI, software engineering, data science, and research teams on live projects. Stay updated with advancements in agentic AI, autonomous systems, and intelligent automation. Perform additional AI agent engineering assignments as required. Learning Outcomes Interns will gain practical exposure to: AI Agents Agentic AI Autonomous Systems MultiAgent Systems AI Planning Task Decomposition Workflow Orchestration Tool Integration Function Calling Memory Architectures Context Management AI Automation Intelligent DecisionMaking Enterprise AI Agent Evaluation AI System Architecture Technical Documentation Eligibility Students pursuing or having completed: B.E.B.Tech in Computer Science Engineering Artificial Intelligence Machine Learning Data Science Software Engineering Information Technology Information Science Electronics Communication Engineering M.E.M.Tech in relevant disciplines MCA M.Sc. in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Information Science, Robotics, or related disciplines Any equivalent programme Strong programming skills, analytical thinking, problemsolving abilities, and an interest in Artificial Intelligence, autonomous systems, software engineering, and intelligent automation will be an added advantage but are not mandatory. Department Artificial Intelligence Data Science Qualification Type UG PG Qualification B.E. B.Tech M.E. M.Tech MCA M.Sc. Select Specialisation Computer Science Engineering Artificial Intelligence Machine Learning Data Science Software Engineering Information Technology Information Science Robotics Mathematics Statistics Electronics Communication Engineering Any Relevant Engineering or Science Discipline Perks Internship Certificate Letter of Recommendation (Performance Based) Mentorship from experienced AI and engineering professionals. Opportunity to contribute to live AI agent, enterprise automation, and intelligent workflow projects. Exposure to autonomous systems, multi-agent architectures, workflow orchestration, tool integration, and enterprise AI platforms. Professional development sessions on Artificial Intelligence, agentic systems, software engineering, intelligent automation, and research methodologies. Outstanding performers may be considered for extended internships, leadership opportunities, or future full-time positions based on organizational requirements. Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement Internship Type: Full-Time Mode of Internship: Online Duration: 3 Months Working Days: 6 Days per Week Total Engagement: Approximately 40 Hours Per Week (?480 Hours over 12 weeks) Project Work / Departmental Responsibilities: Approximately 5 Hours Per Day Holistic Well-being & Personal Development: Approximately 1 Hour 40 Minutes (1.67 Hours) Per Day, including physical fitness, mindfulness, reading, reflective learning, leadership development, community engagement, and other approved personal development activities. Weekly mentor reviews and performance evaluations will be conducted. Interns are expected to maintain professionalism, confidentiality, ethical conduct, and adherence to organizational policies. This is an unpaid internship. Internship Certificate will be awarded upon successful completion of internship requirements. Internship does not constitute an offer of employment. Number of openings 10