Job Title: Fullstack Developer Intern – AI (Remote)
Job ID: RF389
Work Mode: Remote
Experience Level: Entry-level / Fresher
Stipend: ₹15,000 – ₹23,000 per month
Duration: 6 months
About Us
We are an innovative technology company building AI-powered SaaS applications that help businesses improve efficiency, automation, and growth. Our team works on scalable solutions at the intersection of artificial intelligence, full-stack development, and cloud technologies.
About the Role
As a Fullstack Developer Intern – AI, you will gain hands-on experience in AI/ML model development as well as modern full-stack application engineering. You will work with engineers, product managers, and data scientists to design, develop, and deploy AI-driven solutions from concept to production.
Key Responsibilities
AI Development
• Assist in building, fine-tuning, and integrating AI/ML models for SaaS products.
• Work with LLMs, NLP, and computer vision models for real-world applications.
• Implement AI features using APIs such as OpenAI, Hugging Face, and LangChain.
Full-Stack Engineering
• Develop frontend applications using React, Next.js, or Vue.js with TailwindCSS/Material UI.
• Build backend services and APIs using Node.js, Python (FastAPI, Flask, or Django).
• Work with relational and non-relational databases such as PostgreSQL and MongoDB.
SaaS & Cloud Deployment
• Deploy applications on AWS, Azure, GCP, or Vercel.
• Contribute to CI/CD pipelines, version control (Git), and containerization (Docker).
Collaboration & Documentation
• Work in agile sprints alongside designers, engineers, and data scientists.
• Write documentation for APIs, workflows, and system design.
• Participate in code reviews and brainstorming sessions.
Required Skills & Qualifications
• Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or related fields.
• Proficiency in JavaScript/TypeScript and Python.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with frontend frameworks (React or Next.js preferred).
• Understanding of cloud platforms (AWS, Azure, or GCP).
• Knowledge of REST APIs, Git, and database design.
Preferred / Nice-to-Have Skills
• Exposure to LangChain, Pinecone, or Supabase.
• Experience with Prompt Engineering for LLMs.
• Understanding of SaaS architecture and monetization models.
What You’ll Gain
• Hands-on experience building end-to-end AI SaaS applications.
• Mentorship from experienced AI engineers and product leaders.
• Exposure to cloud deployment, scalable systems, and AI model integration.
• Opportunity to build a strong portfolio of real-world projects.