Job Overview
Role: Generative AI Intern (Analytics & Innovation) Location: Gurugram Experience: Freshers / Ongoing Degree (0 – 1 Year) Qualification: B.E / B.Tech / B.Sc / M.E / M.Tech / M.Sc (CS, IT, Stats, Math, Economics)
Job Description
The Analytics and Innovation (Ai) organization at United Airlines works to innovate, transform, and solve complex business problems resulting in significant enterprise impact. Working alongside business and technology partners across Airport Operations, Contact Centers, Network Planning, Revenue Management, and Digital Products, the team helps shape strategic decisions. Generative AI Interns will be embedded directly within core technical teams to accelerate research, prototyping, and evaluation of next-generation LLM-powered applications.
Skills and Eligibility Criteria
Educational Background: Bachelor’s or Master’s degree (ongoing or completed) in Engineering, Technology, Computer Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Economics, or a related field.
Experience: Availability to commit to a minimum internship duration of 6 months.
Mandatory Technical Skills:
- Programming & Data Analysis: High proficiency in Python and SQL, combined with solid hands-on experience using Pandas and NumPy.
- AI / ML Core Skills: Foundational knowledge in Machine Learning (Model Training/Validation, Neural Networks) and a demonstrated understanding of Large Language Models (LLMs), Prompt Engineering mechanics, and Retrieval-Augmented Generation (RAG) architectures.
- AI Safety & Security: Awareness of secure coding practices, enterprise data privacy, prompt injection vulnerabilities, and secure API handling.
Competencies:
- Communication: Strong verbal and written communication skills to clearly articulate technical concepts to technical leads and peers.
- Prior internship experience in Data Science, Software Engineering, Machine Learning, or Advanced Analytics.
- Familiarity with orchestration frameworks like LangChain or LlamaIndex, and experience with APIs from OpenAI, Anthropic Claude, or Google Gemini.
- Exposure to Agentic workflows, multi-agent collaboration, tool-calling architectures, and vector databases (ChromaDB, FAISS, Pinecone).
- Hands-on experience with Git, GitHub version control, and Jupyter Notebook environments.
- Demonstrated engagement in the AI community through personal projects, hackathons, or open-source GitHub contributions.
Roles and Responsibilities
- Technical Collaboration & Prototyping: Work alongside senior Data Scientists and AI Engineers to rapidly prototype GenAI solutions, RAG pipelines, and intelligent document processing tools.
- Secure Development & Documentation: Write clean, secure, and well-documented code for experimental AI workloads to enable reusability and enterprise integration.
- Data Analysis & Model Evaluation: Perform exploratory data analysis and assist in evaluating model outputs for accuracy, context retention, and hallucination reduction.
- Technical Communication: Document research insights, present experimental results, and demonstrate prototypes to technical managers and team peers.