AI Engineering Intern

As an AI Engineering Intern at Thinqmesh, you will work on real systems from your first week, with experienced engineers beside you. You will build features, write evaluations and see your work reach people who use it.

We care more about what you have built and how quickly you learn than where you studied. If you are already experimenting with AI in your own time, you will fit in well here.

AI is changing what early-career engineering looks like. The people who start now, learning to build with AI tools and to check their work carefully, will have a real head start, and practical experience on production systems is what sets an applicant apart.

You will start by learning our tools and ways of working, then build and test features with senior engineers who review your work and explain their thinking. You will help to create evaluations, find out why a system gave a poor answer and improve it.

You will document what you learn for the next person, and you will take part in reviews and team discussions from the beginning. Your questions are welcome, and we expect plenty of them.

You can write working code in Python or JavaScript, and you have built something with an AI model that you can talk through. You communicate clearly, you check your own work and you have a real appetite to learn.

Experience with Git, an open-source contribution or a project with real users would all count in your favour, though none of them is required.

This internship is hybrid or remote, based from Noida, working closely with the engineers you support.

We read every application ourselves. Show us something you have built or shipped, because real work gives us far more to talk about than a list of tools.