Generative AI Developer Internship (Remote)
Remote · Full Time internship
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- Stipend
- Stipend: INR 15,000 – INR 15,001 / month
- Duration
- 3 months
- Start
- Immediately
- Openings
- 5
Candidates who have appropriate skills in generative AI and prompt engineering, can work remotely starting between August 26 and September 30, 2026, and are available for the full three-month duration. Women returning to the workforce are also welcome. Ideal applicants are Computer Science Engineer…
- Work mode
- Work from home
- Education
- Computer Science Engineering student
- Resume
- Required to apply
About the internship
Internship Overview
This internship offers an exciting opportunity to work remotely as a Generative AI Developer. Interns will actively participate in building and iterating prototypes of AI-powered applications and MVPs, engaging with technologies such as large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG). The role involves hands-on experience with AI agents and multi-agent frameworks, rapid UI development using the latest AI-centric tools, and the creation of intelligent knowledge management and retrieval systems. Interns will be involved in collaborative build sprints, tackling real-world AI challenges, and will document the architecture, workflows, and insights gathered during these projects.
Who Should Apply
Candidates who are available to work from home, can commence the internship any time from August 26, 2026, to September 30, 2026, and commit to a three-month duration are encouraged to apply. Applicants should possess relevant skills and enthusiasm for the role, with a preference for Computer Science Engineering students. Women seeking to begin or resume their careers are especially welcome.
Stipend and Perks
The internship offers a monthly stipend between INR 15,000 and 15,001 along with a certificate and a letter of recommendation upon successful completion.
Additional Requirements
- Knowledge of AI tools like Lovable, Claude, and Obsidian is advantageous.
- Experience with the preferred technological stack is not mandatory but considered beneficial.
Selection Process
Shortlisted candidates will participate in a one-week practical build sprint, where they will develop a Minimum Viable Product (MVP) from a range of project options, including AI job scraping with resume matching, interactive learning management systems, Obsidian-based knowledge assistants, AI code reviewers, automated research synthesizers, and AI email senders integrated with Obsidian.