Job Title

We Tecnod8.ai are an early stage startup aiming to make Industrial Engineering as easy as DIY, through Generative AI.Stipend: INR 20K per month with scope for PPORole OverviewAs an Intern – Agentic AI Application Developer, you will work alongside our product engineering teams to design, build, and optimize autonomous AI agents and intelligent applications. You will gain hands-on experience with the latest agentic AI frameworks, foundation models, and application development tools, contributing to real-world solutions for industrial clients.Key ResponsibilitiesAssist in the design, implementation, and testing of agentic AI systems with features such as autonomy, goal-directed behavior, memory, planning, and dynamic tool/API integration.Support the integration of large language models (LLMs) into agent pipelines for web and voice-enabled applications.Conduct research and experimentation with agent architectures.Participate in the deployment, benchmarking, and optimization of agentic AI applications for performance, scalability, and reliability.Document project specifications, technical decisions, and implementation details for internal and external stakeholders.Stay updated on the latest trends in LLMs, agentic AI, and sharing insights with the team.QualificationsCurrently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field.Strong programming skills in Python; familiarity with LLM toolkits.Understanding of AI/ML concepts, agent design patterns (planner-executor loops, tool use, memory), and basic data structures.Exposure to web or application development is desirable.Analytical mindset, strong problem-solving skills, and eagerness to learn new technologies.Excellent communication and teamwork skills; ability to document and present technical work clearly.What We OfferExposure to real-world industrial AI challenges and the opportunity to shape next-generation intelligent applications.Flexible, collaborative, and fast-paced startup environment.Potential for full-time opportunities based on performance.