Internship – India Innovation Team – GenAI Intern
Airbus India Private Limited is inviting applications for a six-month GenAI internship with its India Innovation Team in the Bangalore Area. The official vacancy, reference JR10446597, is a full-time student opportunity in the Digital job family. It focuses on language models, Retrieval-Augmented Generation, model fine-tuning and the engineering work needed to integrate AI components into usable systems.
This could be relevant if you already have strong Python skills and practical familiarity with modern language-model tools. It is not advertised as a general introductory AI course: the employer lists specific technical capabilities, including data preparation, transformer architecture and machine-learning frameworks. The official listing does not disclose a stipend, application deadline or a definite remote, hybrid or office-only arrangement. Applicants should confirm these points with Airbus rather than relying on figures or work-mode labels from other websites.
Internship overview
| Employer | Airbus India Private Limited |
|---|---|
| Official title | Internship – India Innovation Team – GenAI Intern |
| Reference | JR10446597 |
| Location | Bangalore Area |
| Employment type | Internship, full time |
| Experience level | Student |
| Duration | 6 months |
| Stipend | Not disclosed in the official listing |
| Work mode | Not specifically disclosed |
| Application deadline | Not disclosed |
What the work involves
The India Innovation Team describes work on researching and implementing techniques that improve language-model capabilities. One named area is Retrieval-Augmented Generation, commonly called RAG. The responsibilities also include preparing data for fine-tuning, helping set up and optimise the fine-tuning and quantisation pipeline, and participating in the training of small transformer models.
The internship extends beyond isolated experiments. Airbus lists contributions to an internal LLM orchestration framework and collaboration with senior engineers to integrate language-model software components into existing system architecture. Supporting deployment and monitoring in production environments is another responsibility. Documentation is part of the work too: interns are expected to record processes, workflows and findings so the team can share knowledge and reproduce results.
For an applicant, this combination is worth noticing. A project that only produces an attractive chatbot interface may not demonstrate all the capabilities mentioned in the vacancy. Evidence of data preparation, evaluation, integration and careful documentation can help explain how your experience relates to the advertised responsibilities. This is application advice, not a separate Airbus selection criterion or a promise of interview preference.
Technical skills listed by Airbus
- Strong Python programming skills.
- Experience with data wrangling and preprocessing.
- Familiarity with LangChain, LlamaIndex and VectorDB.
- A good understanding of transformer architecture, embeddings and tokenisers.
- Experience with machine-learning frameworks such as TensorFlow or PyTorch.
- Understanding of LLMs, fine-tuning techniques and RAG methods.
- Proficiency with version-control systems such as Git and software-development best practices.
The listing identifies the experience level as Student but does not specify a particular degree, graduation batch, minimum percentage or age limit. Do not interpret that omission as confirmation that every course or year of study is eligible. Review the live application form and any questions Airbus adds before submitting. Similarly, no prior-employment requirement is stated in the notice reviewed for this article.
Location, duration and compensation
The advertised location is Bangalore Area, and the duration is six months. The role is full time. Airbus includes a general statement about supporting flexible working arrangements wherever possible, but that statement does not establish that this specific internship is work from home or hybrid. Candidates who need a remote placement should obtain role-specific confirmation before making plans.
No stipend amount or payment period is provided. This article therefore does not label the internship paid or unpaid. The same caution applies to accommodation, travel support, joining dates, weekly working hours and conversion to a permanent role: the source does not promise these benefits or conditions. Ask about the exact terms during the recruitment process and obtain them in the eventual offer.
How to apply
- Open the official Airbus Workday vacancy using the application link below.
- Check that the page still shows JR10446597 and the India Innovation Team GenAI internship.
- Read the current description and use the Apply option on that page.
- Complete the employer's application steps and supply the documents requested there.
- Keep the application acknowledgement and monitor the contact details you provide.
As practical preparation, use your CV to describe relevant Python and language-model projects clearly. If you share project links, explain your own contribution, the data used, the evaluation approach and the engineering decisions you made. Do not upload confidential datasets or proprietary code simply to demonstrate experience. These suggestions are intended to help you present existing work accurately; the listing does not prescribe a particular portfolio format.
Important checks before submitting
The official page was checked on 11 October 2026 and displayed an Apply option and “Posted 2 Days Ago.” A closing date was not displayed, so availability should be rechecked when you apply. Airbus states that it does not request monetary exchange during recruitment. Use the official application page and be cautious of anyone asking for a payment in return for selection.
Jobsii is sharing the employer's vacancy and is not conducting this recruitment. The live Airbus notice and any subsequent employer communication govern eligibility, availability and offer terms.
Apply for the GenAI internship on the official Airbus careers portal
