United Airlines is hiring for the role of Intern AI & ML in Gurugram. This internship is an exciting opportunity for candidates interested in Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and cloud-based AI systems.
The role is ideal for students or early-career engineers who want hands-on experience working with advanced AI technologies and scalable production systems.
About United Airlines
United Airlines is one of the world’s leading airlines, serving millions of passengers globally. The company invests heavily in technology and innovation to improve customer experience, operational efficiency, and intelligent automation.
United Airlines Business Services Pvt. Ltd. in India works on advanced digital transformation initiatives, AI systems, cloud engineering, analytics, and enterprise-scale software solutions.
Internship Details
| Category | Details |
|---|---|
| Company | United Airlines |
| Role | Intern AI & ML |
| Job Type | Full-Time Internship |
| Location | Gurugram, Haryana, India |
| Work Area | Generative AI / AI Engineering |
| Mode | On-site/Hybrid (as per company policy) |
Salary/Stipend Estimate 💰
Based on similar AI/ML internship roles in top product companies:
- Estimated Monthly Stipend: ₹40,000 – ₹80,000/month
- Possible Additional Benefits: Learning programs, mentorship, networking opportunities, corporate exposure
Note: Actual compensation may vary depending on qualifications, interview performance, and company policies.
Role Overview
As an AI Engineering Intern, you will work on developing and deploying advanced AI applications using Python, LangChain, AI agents, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
You will collaborate with engineers and AI teams to build scalable solutions that solve real-world business problems using Generative AI technologies.
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Key Responsibilities
Python Development
- Develop scalable web services using FastAPI or Flask
- Build modular and reusable Python code
- Support API-driven AI applications
LangChain & AI Frameworks
- Implement LangChain pipelines
- Build document indexing and retrieval systems
- Integrate RAG systems with vector databases
AI Agents & MCP Systems
- Develop autonomous AI agents
- Build intelligent workflows for reasoning and task execution
- Work with MCP and agent-based architectures
RAG Pipelines
- Build Retrieval-Augmented Generation systems
- Optimize chatbot and knowledge retrieval systems
- Improve AI response quality and performance
Vector Databases
- Work with Pinecone, FAISS, Chroma, or Milvus
- Manage embeddings and retrieval systems
- Implement retrievers and re-rankers
AWS Deployment
- Deploy AI solutions using AWS services
- Work with Lambda, EC2, S3, EKS, and RDS
- Ensure scalability and reliability of AI systems
Monitoring & Experimentation
- Monitor systems using Grafana or Tableau
- Research and experiment with latest Generative AI technologies
- Fine-tune LLMs for innovative use cases
Required Technical Skills
Candidates should have knowledge of:
- Python programming
- FastAPI or Flask
- LangChain and LangSmith
- MCP and AI Agent systems
- RAG pipeline development
- Vector databases like Pinecone or FAISS
- AWS cloud services
- SQL and NoSQL databases
- AI-assisted coding tools such as Copilot or ClaudeCode
Preferred Skills
Additional advantages include:
- Dashboarding tools like Grafana or Tableau
- Experience with LLM fine-tuning
- AI deployment experience
- Knowledge of scalable AI infrastructure
- Open-source AI projects or hackathon experience
Soft Skills Required
- Strong problem-solving mindset
- Team collaboration ability
- Excellent communication skills
- Curiosity to learn emerging AI technologies
- Adaptability in fast-paced environments
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Skills to Prepare Before Applying
To improve your chances:
- Practice Python development
- Build FastAPI or Flask projects
- Learn LangChain basics
- Understand vector embeddings and RAG pipelines
- Explore Pinecone/FAISS
- Practice AWS fundamentals
- Build AI chatbot or retrieval-based projects
Having GitHub projects related to Generative AI can significantly strengthen your application.
Selection Process
The hiring process may include:
- Resume Screening
- Technical Assessment
- AI/ML Technical Interview
- Coding Round
- HR Discussion
Candidates with hands-on project experience usually perform better during interviews.
How to Apply
Interested candidates can apply. Before applying:
- Update your resume
- Add AI/ML projects and certifications
- Include GitHub and portfolio links
- Highlight Generative AI and cloud experience
Apply by clicking the application button out the required details carefully.
Final Thoughts
The United Airlines Intern AI & ML Hiring 2026 opportunity is an excellent internship for candidates looking to build a career in Generative AI, AI engineering, and cloud-based intelligent systems. With exposure to LangChain, RAG pipelines, AI agents, and AWS deployment, interns can gain valuable real-world experience in one of the fastest-growing areas in technology.
If you are passionate about AI innovation and want hands-on experience with enterprise AI systems, this internship is definitely worth applying for.
Disclaimer This internship information is collected from official/public sources and shared for informational purposes only. We do not charge any fee for job updates or recruitment assistance. We do not guarantee recruitment or selection. Candidates are advised to verify all details from the official company website before applying.
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