Full Stack Development - Internship (WFH)

About the internship:We are looking for a Full Stack Development Intern with strong programming fundamentals and working knowledge of AI and generative AI. You will help build web applications and integrate AI capabilities into practical product features under the guidance of our engineering team.

Selected intern's day-to-day responsibilities include:

1. Develop responsive interfaces using React, JavaScript or TypeScript, HTML, and CSS.

2. Build backend services and REST APIs using Python (FastAPI or Django) or Node.js, and connect them to frontend interfaces and SQL databases.

3. Develop GenAI features such as AI assistants, document Q&A, summarization, and content generation using model APIs or locally hosted open-source models.

4. Build basic RAG workflows using document processing, embeddings, vector databases, and retrieval.

5. Support prompt evaluation, structured outputs, and tool or function calling; assess response quality and handle errors.

6. Debug issues, write basic tests, document code, and participate in code reviews.

7. Follow best practices for authentication, sensitive data handling, and API credential management.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 15th Oct'26 and 19th Nov'26are available for duration of 3 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.are Computer Science Engineering studentsStipend:INR₹ 20,000 - 30,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendationSkills required:MySQL, JavaScript, Python, Node.js, React, Artificial intelligence, Generative AI Development and LLM evaluationOther Requirements:Required Skills:1. Good understanding of JavaScript, Python, and programming fundamentals, with hands-on familiarity with React and at least one backend framework.2. Working knowledge of SQL, REST APIs, HTTP, and Git.3. Knowledge of LLMs, prompt engineering, context windows, structured responses, embeddings, semantic search, and RAG fundamentals.4. Ability to integrate LLMs into applications, handle model responses, and explain and debug code, including AI-generated code.5. Awareness of hallucinations, prompt injection, and data privacy.6. At least one academic or personal full-stack project demonstrating individual contribution.Good to Have:1. Exposure to LangChain, LlamaIndex, Hugging Face, Ollama, or similar tools.2. A working GenAI application and familiarity with Docker, cloud deployment, or automated testing.Eligibility:Students or recent graduates in Computer Science, IT, AI, or related disciplines. Candidates from other disciplines with strong practical projects are also welcome.About Company:At dSights, we empower ambitious businesses, especially those underserved by traditional tech, with outcome-driven data science and AI solutions. Founded to democratize data, we've become a trusted partner by focusing on real results, not just technology.

Combining advanced analytics, platform engineering, and seamless deployment, we help organizations make smarter decisions and extract deeper insights. As AI evolves, we continue to innovate unlocking the full potential of data through bold experimentation.

Responsibilities

We are looking for a Full Stack Development Intern with strong programming fundamentals and working knowledge of AI and generative AI. You will help build web applications and integrate AI capabilities into practical product features under the guidance of our engineering team.

Selected intern's day-to-day responsibilities include:

1. Develop responsive interfaces using React, JavaScript or TypeScript, HTML, and CSS.

2. Build backend services and REST APIs using Python (FastAPI or Django) or Node.js, and connect them to frontend interfaces and SQL databases.

3. Develop GenAI features such as AI assistants, document Q&A, summarization, and content generation using model APIs or locally hosted open-source models.

4. Build basic RAG workflows using document processing, embeddings, vector databases, and retrieval.

5. Support prompt evaluation, structured outputs, and tool or function calling; assess response quality and handle errors.

6. Debug issues, write basic tests, document code, and participate in code reviews.

7. Follow best practices for authentication, sensitive data handling, and API credential management.