Fullstack Engineer Intern

Education: Final-year student or fresh graduate in Computer Science, Software Engineering, or a related field.
Fundamentals: Solid grasp of programming fundamentals, data structures, and algorithms, understanding of how the web works (HTTP, REST APIs, client-server architecture) and of relational and/or NoSQL databases.
Fullstack exposure: Hands-on experience with at least one modern frontend framework and one backend language/framework, through coursework, personal projects, open source, or previous internships. You don't need to be an expert in both - you need curiosity and willingness to work on either side.
AI-native mindset: You already build with AI tools (coding assistants, agents, LLM APIs) and treat them as teammates, not shortcuts - you know how to prompt well, verify outputs critically, and understand where AI accelerates work and where human judgment is non-negotiable. Experience integrating LLMs or AI features into a project is a plus.
Tooling: Comfortable with Git and the command line, familiarity with testing, containers, or cloud services is a plus.
Mindset: Agile and adaptable in a fast-moving environment, with a logical, evidence-driven approach to problem-solving and a strong sense of product and user impact.
Communication: Able to explain technical decisions clearly, ask good questions, and work effectively with both engineering and non-engineering teammates.
Personal Traits: High sense of ownership, proactive attitude, and excellent self-learning skills.