Full Stack Development – Internship (WFH)
DSights Consultancy Services Private Limited is inviting applications for a paid, work-from-home Full Stack Development internship. The three-month opportunity advertises ₹20,000–30,000 per month and combines web application development with practical generative AI features. There is one opening, and the application deadline is 15 November 2026. The employer listing was posted on 16 October and was actively accepting applications when checked.
This is a development role rather than a course or a general AI-awareness program. The employer wants applicants who can connect interfaces, backend services and databases, then integrate AI capabilities into useful product features. Its requirements include at least one academic or personal full-stack project showing the candidate's own contribution. Read that requirement carefully before applying.
Internship overview
| Employer | DSights Consultancy Services Private Limited |
|---|---|
| Work mode | Work from home |
| Duration | 3 months |
| Advertised stipend | ₹20,000–30,000 per month |
| Openings | 1 |
| Start window | 15 October–19 November 2026 |
| Apply by | 15 November 2026 |
What you would work on
The frontend responsibilities involve responsive interfaces using React, JavaScript or TypeScript, HTML and CSS. On the backend, interns will help build services and REST APIs using Python with FastAPI or Django, or Node.js. Those services need to connect to frontend interfaces and SQL databases. The listing presents these as alternative backend technologies; it does not say every candidate must already be expert in every framework.
The GenAI work includes AI assistants, document question-and-answer features, summarisation and content generation. The source mentions model APIs and locally hosted open-source models. It also describes basic retrieval-augmented generation workflows: processing documents, creating embeddings, using vector databases and retrieving relevant information. These responsibilities distinguish the internship from a conventional frontend-only opening.
- Build responsive interfaces and connect them to backend services.
- Develop REST APIs and work with SQL data.
- Integrate GenAI capabilities into application features.
- Support prompt evaluation, structured outputs and tool or function calling.
- Assess responses, handle errors, debug issues and write basic tests.
- Document code, participate in reviews and handle authentication, sensitive data and API credentials responsibly.
Required skills and useful additional exposure
Applicants should have programming fundamentals, a good understanding of JavaScript and Python, hands-on React familiarity and experience with at least one backend framework. The employer also asks for working knowledge of SQL, REST APIs, HTTP and Git. Its AI requirements cover LLMs, prompt engineering, context windows, structured responses, embeddings, semantic search and RAG fundamentals.
Being able to use an AI coding tool is not the same as meeting the full requirement. The source specifically asks candidates to explain and debug code, including AI-generated code, and to understand hallucinations, prompt injection and data privacy. A project that works only when its author cannot explain the implementation may not communicate the practical ability the employer describes.
LangChain, LlamaIndex, Hugging Face, Ollama or similar tools are listed as good-to-have exposure. A working GenAI application and familiarity with Docker, cloud deployment or automated testing are also useful additions. They are presented separately from the required skills; applicants should not turn that optional list into a claim that every named tool is mandatory.
Who can apply
The complete visible employer eligibility welcomes students or recent graduates in Computer Science, IT, AI or related disciplines. It also expressly welcomes candidates from other disciplines who have strong practical projects. Applicants must have relevant skills and interests, be available for a work-from-home internship and commit for three months. Women wanting to start or restart their careers may also apply.
The stated start window runs from 15 October to 19 November 2026. The application deadline is earlier, on 15 November, so the end of the start window should not be treated as extra time to submit an application. Be clear about your actual availability and any academic commitments when completing the application.
Stipend, location and benefits
The advertised amount is ₹20,000–30,000 per month. The checked listing does not provide a separate fixed-versus-incentive breakdown, so no additional split is being invented. Selected candidates should confirm the exact offer amount and payment terms with the employer. A certificate and letter of recommendation are listed as perks.
The company profile mentions Bangalore, but the internship is explicitly work from home. That profile location does not make the opportunity an in-office Bangalore role. Daily hours, equipment support and any future office attendance are not specified in the checked source; clarify any terms important to you before accepting an offer.
How to prepare and apply
For application preparation, choose a project you can explain end to end: what the user sees, which API handles a request, how data is stored and how errors are handled. If it includes AI, explain what context is retrieved, what is sent to a model and how you checked the answer. This is practical application advice, not an extra employer condition or a promised interview format.
- Open the exact DSights employer listing linked below.
- Recheck current availability, eligibility, stipend and the three-month commitment.
- Use Apply now and follow Internshala's profile and application steps.
- Share relevant project links and describe your own contribution accurately.
- Keep the application confirmation and verify final terms in employer communication.
DSights describes its business as providing data science, AI, analytics and platform-engineering solutions. Jobsii is sharing the advertised opportunity, not guaranteeing selection, future employment or a particular project assignment. Apply through the source and avoid exposing private client data, API keys or confidential code in portfolio examples.
Read the complete DSights full-stack internship listing and apply.
