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Airbus • Bangalore, India

Internship AI

Employment type:  Full time

Job Description

Job Description:

Location: Bangalore
Duration: 6 months
Onboarding month: August


Airbus is an international reference in the aerospace sector. Airbus Engineering Centre in Bengaluru has over 500 engineers working across both fixed and rotary-wing aircraft programs for Airbus. It has strong capabilities in structural analysis, loads, aerodynamics, avionics software design and testing, system simulation, digital mock-up and system installation.

Our cutting-edge products and services - which span the commercial aircraft, helicopter, defense, security and space segments - benefit from our wide-ranging expertise and continued emphasis on innovation.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other’s expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Come and join us. #WeMakeItFly

JOB DESCRIPTION

TITLE: Using Artificial Intelligence for building Digital Solutions and Enablers in transversal and transformations projects

Job scope (core activities):

You will be involved in understanding the AI application in the digital solutions and enablers that we are building for usage by global Airbus teams. You will be expected to develop and use existing models that can fast track and enable us in optimizing our transformation and migration activities like Oracle to Postgres, .NET migration activities, MS decommissioning and movement to google suite to mention a few.

Responsibilities

  • Build and optimize Generative AI workflows using Python and LangChain.
  • Lead and execute Microsoft platform decommissioning activities, including assessment, planning, migration, and retirement of legacy systems, while ensuring minimal disruption to business operations and adherence to compliance and security standards.
  • Drive and support the .NET Sunset Program by assessing legacy applications, planning and executing migration or decommissioning strategies, coordinating with cross-functional teams, and ensuring seamless transition to modern, scalable technologies.
  • Develop and refine prompt templates for effective interaction with LLMs.
  • Integrate tools and agents within the LangChain ecosystem to handle real-world tasks.
  • Implement RAG pipelines using vector databases to enhance response quality.
  • Work closely with architects to understand requirements and translate them into functional implementations.
  • Collaborate with the AI/ML team to build interactive frontends using Streamlit or Gradio.
  • Assist in deploying and testing models and services on GCP cloud infrastructure.
  • Document work, share learnings, and actively participate in brainstorming sessions.
  • Any new activities which has a need to use AI to complete it in an optimal way

Required Technical Expertise:

  • Python
  • Machine Learning Frameworks like Tensorflow/PyTorch
  • Network Graph Visualization techniques
  • Compressible Flow Aerodynamics

Must Have

  • Strong knowledge and hands-on experience with Python programming.
  • Experience working with Generative AI workflows using LangChain.
  • Familiarity with LangChain Prompt Templates and LangChain Agent tools.
  • Understanding of Retrieval-Augmented Generation (RAG) techniques.
  • Experience working with Vector Databases (e.g., FAISS, Chroma, Pinecone, etc.).
  • Proficiency in using Jupyter Notebooks for experimentation and prototyping.
  • Experience working on real-time projects with a proper project structure using IDEs like VS Code or PyCharm.
  • Strong critical thinking and problem-solving skills.
  • Good communication and collaboration abilities.

Nice to Have

  • Hands-on experience with Streamlit or Gradio for building AI frontends.
  • Basic understanding of Google Cloud Platform (GCP) services.
  • Exposure to APIs and tool integrations in AI applications.
  • Previous project or coursework in LLM-based or NLP-driven applications.

Area:

  • AI / ML Engineering for building Digital Solutions and Enablers


Education:

  • Engg. background with exposure to Machine Learning & Deep Learning, Artificial Intelligence


Soft skills:

  • Ability to work independently & in a transnational team.
  • Good communication and interpersonal skills.
  • Flexibility & Adaptability


Job Disclaimer & Notifications

We bring to the notice of all concerned that Airbus India Pvt. Ltd follows a fair and merit-based employee selection and recruitment practice.

Airbus India does not:

  • Send job offers from free email services including but not limited to Gmail, Rediffmail, Yahoo

mail, Hotmail and others

  • Authorize anyone to either collect money or arrive at any monetary arrangement in return for

a job at Airbus India

  • Charge / accept any form of consideration or security deposit from job seekers and applicants

during any stage of the selection and/ or recruitment process

  • Request for your credit card number or bank account number


It has come to our attention that fake job offers under the aegis of Airbus India or Airbus India Pvt. Ltd. have been circulated by unauthorized personnel. On receipt of an interview call for any job at Airbus India, the candidate may take some measures such as visiting the official website or career site of Airbus to get the contact details to enquire with the Human Resources department of Airbus India regarding such jobs and/or the interview details and any other relevant information

For further information on Airbus India Careers, please click here. Please check www.airbus.com to get the contact details and enquire with the company to confirm if any information that you have received is genuine; do not respond to any fraudulent communication. Airbus India will not be responsible to anyone acting on an employment offer not directly made by Airbus India Pvt Ltd. anyone making an employment offer in return for money or other type of gain is not authorized by Airbus India and is not offering an approved job. Airbus India reserves the right to take legal action, including criminal action, against such individuals/entities

**Airbus is proud to be an equal opportunity employer and is committed to create an inclusive and diverse work environment. Airbus India selects job applicants (internal and external) on the basis of suitability for the job, and irrespective of gender, marital status, age, sexual orientation, gender identity or expression, nationality, religion, ethnicity or differently abled/ (dis)ability.)

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:
Airbus India Private Limited

Employment Type:
Internship
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Experience Level:
Student

Job Family:
Digital

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Company benefits

Open to part-time employees
Open to job sharing
Annual bonus
Enhanced maternity leave
Open to compressed hours
Accrued annual leave
Sabbaticals
Enhanced sick pay
Adoption leave
Health insurance
Enhanced paternity leave
Family health insurance
Complimentary Medical Services
Referral bonus
Bike parking
Cycle to work scheme
On-site gym
Teambuilding days
In house training
Employee discounts

Working at Airbus

Company employees:

150,000

Gender diversity (m:f):

70:30

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Awards & Accreditations

1st – Work-Life Balance

1st – Work-Life Balance

Flexa awards 2025
3rd – Career Progression

3rd – Career Progression

Flexa awards 2025
Diversity and Inclusion

Diversity and Inclusion

Flexa awards 2025
Flexible

Flexible

Flexa awards 2025

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