How the job actually works

Remote-First Culture

Work from anywhere, with flexible schedule.

Learning & Development

Continuous learning and skill programmes.

Work-Life Balance

Versatile 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)

📌 Full Stack Development Intern (AI-Focused) (India)
🏢 Splashgain
📍 India