Software Developer Intern – AI & Full-Stack Development Location: Remote Type: Internship (3–6 months) Stipend: Performance-Based / Competitive Start Date: Immediate openings About MoodScale MoodScale is a comprehensive and innovative mental health and wellness platform designed to support individuals in understanding, tracking, and improving their emotional and psychological well-being. Combining modern technology with expert therapeutic practices, MoodScale provides personalized assessments, real-time mood tracking, and tailored wellness plans to help users navigate their mental health journey effectively. Role Overview We are looking for a Software Developer Intern who’s passionate about building intelligent digital tools that impact lives. You’ll work closely with the founding team to design, develop, and deploy systems that merge AI, behavioral data, and user-friendly frontends. This is an opportunity to contribute to a meaningful mission while learning how to build scalable digital solutions from scratch. Responsibilities Develop and maintain backend systems using Python (FastAPI / Flask / Django) Design and implement responsive, intuitive frontend interfaces (React / Next.js) Integrate third-party APIs and manage OAuth2 authentication flows Implement and optimize AI/ML models to generate insights from user data Ensure clean code practices, version control, and basic CI/CD pipelines Contribute to product brainstorming, feedback loops, and documentation Requirements Solid programming experience in Python Familiarity with REST APIs and OAuth2 authentication Exposure to OpenAI , TensorFlow , or other AI/ML tools Frontend basics (React / HTML / Tailwind / Material UI preferred) Comfortable working independently and managing timelines Currently pursuing or recently completed a degree in CS / Data Science / Psychology What you'll gain Direct mentorship from the founding team Real-world experience building production-ready software Exposure to AI/ML, behavioral tech, and mental wellness space A portfolio-ready project and Letter of Recommendation Opportunity for Pre-Placement Offer (PPO) based on performance