Job Title

Company DescriptionThita is an AI-powered interview preparation platform built for engineers targeting top tech roles. We combine AI mock interviews, structured learning paths, real-time code analysis, system design feedback, and resume intelligence into a single workflow.Used by 15,000+ engineering aspirants, Thita is focused on making interview prep structured, feedback-driven, and significantly more effective than traditional fragmented resourcesRole DescriptionBuild and ship production-grade features across backend systems and AI-driven modulesWork on APIs, services, and core platform architecture (FastAPI, backend systems)Contribute to AI-powered features such as mock interviews, code analysis, and learning workflowsImprove system performance, scalability, and reliability of the platformCollaborate closely with founders on product, technical decisions, and feature iterationsDebug, test, and maintain high-quality, clean, and scalable codeTake ownership of features from idea to deploymentTech Stack (Exposure You’ll Get)Python, FastAPI, Next.js, Docker, AI/LLM integrations, real-time code execution systems, and analytics-driven product development.QualificationsStrong fundamentals in Data Structures, Algorithms, and core Computer Science conceptsProficiency in at least one programming language (Python, C++, or JavaScript preferred)Hands-on experience with backend development or full-stack projectsGood problem-solving and debugging skillsAbility to work independently in a remote, fast-paced environmentStrong interest in AI, developer tools, or EdTech productsCurrently pursuing or recently completed a degree in Computer Science or a related field (or equivalent practical experience)Nice to Have (Not Mandatory) Experience with FastAPI, Node.js, or similar backend frameworks Experience building real-world projects (personal, open-source, or startup work)Why Join Thita (Founding Intern Experience)Work directly with the founding team on real product developmentShip features used by 15,000+ engineers preparing for technical interviewsGain hands-on exposure to AI-powered product building and scalable systemsHigh ownership, fast learning, and meaningful impact from day oneStrong portfolio-building opportunity with real production contributions (not shadow tasks)Flexible, remote-first work environment focused on builders and execution