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
