Teqrox®

About the job Role: Full Stack AI Engineer Intern Company Location: Bengaluru Work Mode: Remote Duration: 3–6 Months (Full-time) Internship Stipend: 9000-12,000 Email to Apply: riyaz@teqrox.com About Teqrox Teqrox is a forward-thinking management consultancy and technology solutions company. We combine consulting expertise with AI-driven innovation to deliver scalable, intelligent solutions for enterprises. Role Overview We’re looking for passionate interns/fresh graduates who are full-stack AI engineers. You’ll work closely with senior engineers, designing, building, and deploying AI-powered applications. What You’ll Do Assist in building web applications using React, Node.js, and Python Integrate AI/ML models (OpenAI, LangChain, Hugging Face) Work with APIs (social media APIs, CRM APIs, Twilio, verification APIs) Develop backend logic, databases (SQL & NoSQL), and automation workflows Contribute to UI/UX improvements for dashboards and portals Collaborate using Git/GitHub for version control Participate in code reviews and brainstorming sessions What We’re Looking For Basic knowledge of Python and JavaScript Familiarity with HTML, CSS, and React Understanding of REST APIs and JSON Curiosity about AI, LLMs, and automation workflows Problem-solving mindset and eagerness to learn new tools Good communication and teamwork skills Nice-to-Have (Bonus Points) Projects or hackathon experience in AI/web development Knowledge of databases (MongoDB, PostgreSQL) Exposure to cloud services (AWS, Azure, or GCP) What You’ll Gain Hands-on training in full-stack AI development Real-world project experience in consulting + tech solutions Mentorship from experienced AI engineers Potential for a full-time offer upon successful internship completion Exposure to management consulting + AI product innovation Academic Requirements Minimum: Bachelor’s degree in progress or completed in: Computer Science, Information Technology, Electronics & Communication, Data Science, AI/ML, or related STEM fields. CGPA: 6.0+ or 60% and above (flexible for candidates with strong portfolios or project work). Preferred: AI/ML certifications (Coursera, NPTEL, Udemy, etc.). Participation in hackathons, coding competitions, or open-source projects. GitHub or a portfolio showcasing projects.