Full Stack Development Intern (AI-Focused)

How the job actually works Remote-First Culture Work from anywhere, with flexible hours. Learning & Development Continuous learning and skill programmes. Work-Life Balance Flexible schedules and time off. What happens after you write to us • 1 AI Telephonic Interview A short screening call with our AI interviewer, on any phone, at a time that suits you. • 2 AI Video Interview Role-specific questions answered on video, reviewed by our team. • 3 Interview / Technical Test An interview with team members, or a practical test of your skills. • 4 Offer Final decision and offer discussion. Full Stack Development Intern (AI-Focused) Engineering In-office / Hybrid 3-6 months Internship Develop web applications integrating AI features for assessment and proctoring platforms. Learn modern frontend/backend technologies while working with LLM APIs and cloud services. What you’ll do • Build responsive UI components using React.js, Next.js, or Vue.js with TypeScript • Develop backend APIs using Node.js, Python (FastAPI/Flask), integrating ChatGPT and Google Gemini • Work with RESTful APIs and JSON for integrating OpenAI, Hugging Face, and Google AI services • Implement prompt engineering and testing for AI-powered features • Build simple AI agents using LangChain or LlamaIndex (preferred) • Work with SQL databases (PostgreSQL) and NoSQL (MongoDB) for data storage • Perform data cleaning and preparation for frontend display and AI processing • Use Git/GitHub for version control and collaborative development • Deploy applications on cloud platforms (AWS, Google Cloud, Azure) • Write clear technical documentation and maintain code quality • Learn about AI ethics, bias detection, and responsible AI practices Required skills & technologies • Frontend: Angular (required), React.js, HTML, CSS, JavaScript/TypeScript basics • Backend: Node.js or Python (Flask/FastAPI) • Understanding of core ML algorithms: regression, classification, clustering • Generative AI & LLM basics: use cases, limitations • Prompt engineering and prompt testing: tuning and chaining • Ability to build simple AI agents with LangChain, LlamaIndex, or Semantic Kernel (preferred) • Work with RESTful APIs and JSON (OpenAI, Hugging Face, Google) • Data cleaning and preparation for training/inference • Version control with Git/GitHub • Clear written communication for documentation • Awareness of AI ethics and bias in software development • Database: MS SQL Server (required), SQL basics (PostgreSQL, MySQL)