Generative AI Intern – Analytics & Innovation (AI)

United’s interview process typically starts with a timed coding test focusing on data structures and algorithmic problem solving. The technical interview dives deeper into AI/ML concepts, Python coding, and scenario‑based questions around LLMs and retrieval‑augmented generation. The final HR round assesses cultural fit, communication skills, and internship logistics. Preparation should include strong fundamentals, hands‑on practice with LLM APIs, and clear articulation of project experiences.

United promotes an inclusive, collaborative culture where innovation is encouraged and employees are empowered to experiment with new technologies. The company offers structured learning programs, mentorship, and a balanced work‑life environment, making it a conducive place for fresh talent to grow.

Currently pursuing or completed Bachelor’s/Master’s in Engineering, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics or related fields; Minimum 60% aggregate or 6.5 CGPA; No active backlogs; Available for a minimum 6‑month internship; Strong proficiency in Python and SQL; Ability to work full‑time on site in Gurugram.

Round 1: Online coding assessment → Round 2: Technical interview (AI/ML concepts, Python coding, problem solving) → Round 3: HR interview (fit, motivations, availability)

United Airlines is a global aviation leader with a strong focus on technology-driven transformation. Through its Digital Technology division, United builds large‑scale platforms that power everything from flight operations to customer experiences. The company’s culture is built on inclusion, safety, and continuous innovation, encouraging employees to bring diverse perspectives to solve complex problems. United’s Business Services Pvt. Ltd., a wholly‑owned subsidiary, extends this tech‑first mindset to internal operations, delivering data‑centric solutions that keep the airline competitive in a fast‑changing market. The Analytics & Innovation (AI) team sits at the heart of United’s digital strategy. It partners with functions such as Airport Operations, Revenue Management, Human Resources, and Digital Products to translate business challenges into AI‑enabled opportunities. By leveraging advanced analytics, large language models, and retrieval‑augmented generation pipelines, the team drives measurable enterprise impact, from improving operational efficiency to creating intelligent internal tools for employees. As a Generative AI Intern, you will be embedded within this high‑impact team, working side‑by‑side with senior Data Scientists and AI Engineers. Your primary mission is to accelerate the prototyping, testing, and documentation of LLM‑powered solutions. You will help build foundational RAG pipelines, intelligent document processing workflows, and experimental AI utilities that can be scaled across United’s business units. The role demands a blend of strong analytical thinking, rapid learning of emerging frameworks, and a disciplined approach to secure coding and AI safety. Key Responsibilities: 1. Collaborate with senior AI engineers to design and prototype generative AI applications, including RAG pipelines and document‑understanding tools. 2. Write clean, secure, and well‑documented Python code for experimental workloads. 3. Perform exploratory data analysis, data cleaning, and feature engineering to support model grounding. 4. Evaluate model outputs for accuracy, context retention, and hallucination mitigation. 5. Document experimental results, methodology, and technical insights for knowledge sharing. 6. Prepare technical presentations and demos for internal stakeholders. 7. Assist in integrating LLM APIs (OpenAI, Anthropic, Google Gemini) and orchestration frameworks such as LangChain or LlamaIndex. 8. Maintain version control using Git and contribute to shared notebooks and repositories. 9. Follow AI safety best practices, including prompt injection testing and data privacy compliance. 10. Participate in team brainstorming sessions to identify new AI use‑cases within United. Tech Stack: Python, SQL, Pandas, NumPy, Scikit‑learn, PyTorch/TensorFlow (optional), LangChain, LlamaIndex, OpenAI/Claude/Gemini APIs, Vector stores (FAISS, Pinecone, ChromaDB), Git, Jupyter Notebook. Growth Path: Successful interns often transition to full‑time roles as Junior Data Scientists, AI Engineers, or Business Analysts within United’s Digital Technology ecosystem. Continuous exposure to cross‑functional projects provides a springboard for rapid career progression in analytics, product development, or AI research. Why Join United? You will work on real‑world, high‑visibility AI projects that directly influence a Fortune‑500 airline’s operations. United offers a supportive, inclusive environment, world‑class benefits, and the chance to learn from seasoned AI practitioners while contributing to cutting‑edge generative AI solutions that shape the future of aviation.