Hire AI Developer Internship — the employer’s brief

The three that matter most are Defining what "working" means before building; Reading an existing codebase before changing it; Handling hallucination and failure modes. Beyond those, look for working familiarity with Python, OpenAI or Anthropic APIs, scikit-learn or PyTorch. Everything else on the list above is teachable inside a term — treating it as an entry requirement shrinks your pool without improving the hire.

One finished thing. Ship one prototype with a measured success rate rather than a demo is the right size: real work someone on the team would otherwise do, small enough to finish, visible enough to assess. If they move quickly, ship one reviewed, merged change that goes to production during the term is the natural second piece. A term with three half-finished projects assesses nothing and teaches less.

Start from ₹19,000–₹47,500 a month, then adjust for city and duration: metros at the top, tier-2 typically 25–40% lower, and six-month commitments above six-week ones. Publish the number in the listing — "as per industry standards" is read as low or undecided, and it costs you applications from exactly the candidates who had another option.

Ask about something that went wrong. "How would you know this AI feature is working in production?" gets you evaluation thinking — the difference between an engineer and a demo builder, and two follow-up questions on their own example will tell you the depth. Candidates who have only studied the topic run out of specifics almost immediately.

In order: what they will actually work on, whether there is a named mentor, the stipend, and whether the company converts interns. A listing that answers all four gets meaningfully more and better applications than one at the same stipend that answers none — specificity, not money, is usually the binding constraint.

The "AI" qualifier needs a measurable success definition before any build. Demos are easy in this space and production is not, so agree what "working" means in week one. In screening terms, that means adding one specific check: defining what "working" means before building.

Yes, and the difference is what you must provide rather than what they must have. A developer brief promises build work, so it needs repository access, a real ticket and a named reviewer from day one. If those are not ready, hire against the general brief instead — a developer intern with nothing to build leaves inside a month, and usually tells their campus why.

Most Indian colleges ask for a completion or experience certificate, and many also require a mentor evaluation on the institution's own form. Ask which format the candidate's college needs during onboarding rather than in the final week — it takes two minutes then and becomes a scramble later.

First applications typically arrive within about two hours of the listing going live, and most employers hiring a Artificial Intelligence intern have a workable shortlist inside a week. Speed depends more on how specific the brief is than on the stipend — a listing with a named project and named tools consistently outperforms a generic one at the same money.