Full Stack and AI Developer Intern

**Location:** Bangalore (Work from Office) **Job Type:** Internship (Full-Time) **Duration:** 3–6 Months (Potential for Full-Time Conversion / PPO) **About Exdera** Exdera is a digital product engineering agency specializing in UX/UI Design, Scalable Web Applications, Mobile Apps, and AI-driven Enterprise Solutions. We build high-performance systems and modern digital products for businesses worldwide. We are looking for an ambitious **AI & Full Stack Developer Intern** who is eager to build scalable web applications, work with high-concurrency backend services, and integrate machine learning workflows into real-world applications. **Responsibilities** **Full Stack Development:** Develop and maintain web applications using the MERN Stack (MongoDB, Express.js, React.js, Node.js). **Backend Systems:** Assist in building high-throughput backend microservices and APIs using **Golang (Go)**. **AI & Machine Learning:** Assist in fine-tuning, training, and deploying ML models (e.g., PyTorch, TensorFlow, or Scikit-Learn) and integrating local/cloud LLMs into existing applications. **API & Data Pipeline Integration:** Design and optimize RESTful/gRPC APIs to serve ML inference pipeline results seamlessly to the frontend. **Database Management:** Work with MongoDB, Postgres, vector databases (e.g., Pinecone, Milvus, Qdrant), and perform query optimization. **Performance & Testing:** Debug, test, and optimize application performance, responsiveness, and AI inference latency. **Collaboration:** Partner with UI/UX designers, AI engineers, and senior developers in an Agile environment (sprints, stand-ups, code reviews). **Required Skills** **Core Web Stack:** Strong foundation in JavaScript/TypeScript (ES6+), React.js, Node.js, and Express.js. **Backend & Systems:** Basic understanding of Golang (Go) or strong willingness to learn low-level concurrency patterns. **Machine Learning Fundamentals:** Knowledge of Python and core AI/ML frameworks (PyTorch, TensorFlow, Scikit-Learn, or Hugging Face). **Data & APIs:** Solid grasp of REST APIs, JSON, and working with relational or document databases (MongoDB). **Tooling:** Proficiency with Git/GitHub and Linux/command-line environments. **Mindset:** Strong analytical problem-solving skills, curiosity for AI engineering, and an eager-to-learn attitude. **Preferred Qualifications** Final-year students or recent graduates in Computer Science, Data Science, AI/ML, or related technical fields. Hands-on academic or personal projects involving full-stack web applications integrated with ML models, RAG architectures, or LLM APIs. Exposure to vector databases, prompt engineering, or model deployment (Docker, ONNX, Fast-API). Familiarity with modern UI frameworks like Tailwind CSS. **What You'll Gain** **Live Project Exposure:** Work on production-grade client applications and AI-driven products. **Direct Mentorship:** Learn directly from experienced developers across full-stack architecture and machine learning engineering. **Modern Stack Experience:** Master a rare and highly valuable combination of modern tools (React, Node, Go, and Python AI frameworks). **Career Growth:** High possibility of a **Pre-Placement Offer (PPO)** for full-time conversion based on performance. **Certification:** Internship Certificate and formal letter of recommendation upon successful completion. **How to Apply** If you are passionate about full-stack engineering, love experimenting with AI models, and want to build real-world software, we’d love to hear from you! Please submit your resume along with a link to your GitHub profile or portfolio. Pay: From ₹20,000.00 per month Application Question(s): * Do you have any prior internship experience? Experience: * Full-stack development: 1 year (Preferred) * APIs: 1 year (Preferred) * Machine learning: 1 year (Preferred) * Vision AI: 1 year (Preferred) Work Location: In person