Are you pursuing a career in artificial intelligence and looking for hands-on experience with cutting-edge generative AI technologies? The Gen AI Intern position at Airbus Bangalore offers an exceptional opportunity to work with Large Language Models, RAG systems, and transformer architectures at one of the world’s leading aerospace companies.
This comprehensive guide covers everything you need to know about the Airbus Gen AI internship, including job responsibilities, required qualifications, application tips, and expected compensation.
🚀 About the Airbus Gen AI Internship Opportunity
Airbus, a global leader in aerospace innovation, is seeking talented interns to join their Generative AI team in Bangalore. This full-time internship position focuses on developing and implementing advanced language model solutions that drive innovation in aerospace technology.
The role provides exposure to state-of-the-art AI technologies including Retrieval-Augmented Generation, model fine-tuning, quantization techniques, and production deployment of machine learning systems. You’ll collaborate with experienced engineers while contributing to real-world projects that impact Airbus’s digital transformation initiatives.
📊 Job Details
| Detail | Information |
|---|---|
| Company | Airbus |
| Position | Gen AI Intern |
| Location | Bangalore Area, India |
| Job Type | Full-time Internship |
| Department | Artificial Intelligence / Machine Learning |
| Work Mode | On-site / Hybrid |
Primary Job Responsibilities
Key Duties and Tasks
- Conduct research and develop Retrieval-Augmented Generation (RAG) solutions to improve language model performance and capabilities
- Prepare and preprocess datasets for model fine-tuning, including data cleaning and quality validation
- Build and optimize pipelines for fine-tuning workflows and implement quantization techniques for model efficiency
- Train compact transformer models while maintaining high performance standards and computational efficiency
- Help design and develop an internal orchestration framework for managing large language models
- Work alongside senior engineers to seamlessly integrate LLM components into existing system infrastructure
- Deploy AI models to production environments and monitor their real-time performance metrics
- Create detailed documentation of technical processes, experimental workflows, and research findings for team knowledge base
Help a friend land their next role. Share now!
📋 Required Qualifications and Skills
Technical Skills Required
| Skill Category | Requirements |
|---|---|
| Programming | Strong Python proficiency |
| Data Skills | Experience with data wrangling and preprocessing |
| AI Frameworks | Familiarity with LangChain, LlamaIndex, VectorDB |
| ML Libraries | Experience with TensorFlow or PyTorch |
| Architecture Knowledge | Understanding of transformer architecture, embeddings, tokenizers |
| LLM Expertise | Knowledge of fine-tuning techniques and RAG methodologies |
| Development Practices | Proficiency in Git and software development best practices |
Educational Requirements
Candidates should be pursuing technical undergraduate or postgraduate degrees (B.E/B.Tech or M.Tech/M.E) in Computer Science, Electrical Engineering, Electronics, or related disciplines. The position suits students passionate about artificial intelligence, machine learning, and natural language processing.
💰 Expected Salary Range
| Internship Duration | Monthly Stipend Range |
|---|---|
| 6 months | ₹40,000 – ₹60,000 |
| 3 months | ₹35,000 – ₹50,000 |
Note: Actual compensation may vary based on academic background, prior experience, and performance during interviews. Airbus typically offers competitive stipends aligned with industry standards for AI/ML internships.
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
How to Prepare for the Application
Technical Preparation
- Build a GitHub portfolio with RAG implementations, transformer projects, and LLM fine-tuning examples
- Master Python and key ML frameworks (PyTorch/TensorFlow) through hands-on projects
- Complete certifications in generative AI, NLP, or deep learning
- Practice data preprocessing, model optimization, and vector database implementations
Interview Readiness
- Review transformer architecture, attention mechanisms, embeddings, and tokenization concepts
- Study fine-tuning techniques like LoRA, QLoRA, and quantization methods
- Prepare to discuss your technical projects and problem-solving approaches
- Practice coding challenges related to data manipulation and model training
Company Research
- Learn about Airbus’s AI initiatives in aerospace manufacturing and predictive maintenance
- Follow their technology blog and recent innovations
- Network with Airbus AI team members on LinkedIn
- Demonstrate passion for aerospace technology and AI applications
Why Choose This Internship? ✨
Working as a Gen AI intern at Airbus provides unparalleled exposure to enterprise-grade AI solutions in the aerospace industry. You’ll gain experience with production-level machine learning systems, work alongside expert engineers, and contribute to projects with real-world impact.
The internship serves as an excellent stepping stone for careers in AI research, machine learning engineering, or data science, particularly within aerospace, defense, or similar high-tech industries.
Application Tips
- Tailor your resume highlighting relevant coursework, projects, and technical skills
- Write a compelling cover letter explaining your passion for generative AI
- Prepare a portfolio demonstrating practical experience with LLMs or related technologies
- Network with Airbus employees through LinkedIn for insider perspectives
- Apply early as competitive positions fill quickly
Disclaimer: This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and are not responsible for any loss or damage arising from reliance on this information.
Share the opportunity