Interns – Applications Development

Round 1: Online assessment (aptitude + coding) → Round 2: Technical interview (programming, AI concepts, prompt engineering) → Round 3: HR interview (fit, motivation, availability)

Marsh promotes a collaborative and inclusive work environment where learning and innovation are encouraged. Employees benefit from structured mentorship programs, regular skill‑upgradation workshops, and a balanced approach to work‑life integration. The company’s global footprint offers exposure to diverse projects and clear career progression pathways.

Marsh’s interview process typically starts with an online aptitude and coding test, followed by a technical interview focusing on programming fundamentals, AI/ML concepts, and prompt engineering. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation on AI basics and coding practice greatly improves chances.

• B.E./B.Tech in Computer Science, Information Technology or a related engineering discipline. • Expected graduation year: 2027. • Minimum 60% aggregate in academic records. • No active backlogs in any subject. • Hands‑on programming experience in at least one modern language (Python, JavaScript, Java, C#). • Understanding of AI/ML and generative AI concepts. • Working knowledge of SQL and/or NoSQL databases. • Demonstrated practical AI project, prototype, workflow or use‑case beyond mere code generation. • Ability to work from the Pune office at least three days a week under a hybrid model. • Willingness to adapt to a 24×7 shift environment if required.

Marsh is a leading global insurance broker and risk management firm with a strong presence in India. The company helps businesses navigate complex risk landscapes by offering innovative insurance solutions, advisory services, and employee benefits programs. With a culture that encourages curiosity, collaboration, and continuous learning, Marsh has built a reputation for nurturing talent and providing exposure to cutting‑edge technologies across its IT and business domains. The AI Native Intern – Applications Development role is part of Marsh’s IT Application Development team in Pune. This internship is designed for engineering students graduating in 2027 who are passionate about software development, artificial intelligence, and building real‑world AI‑enabled solutions. Unlike a traditional coding internship, this position focuses on responsible AI adoption, prompt engineering, validation of AI‑generated outputs, and security awareness. Interns will work closely with cross‑functional teams to design, develop, test, integrate, and support AI‑powered applications that drive value for Marsh’s Insurance Broking and Employee Benefits businesses. Key Responsibilities: 1. Collaborate with product, data, and business teams to understand use‑cases and translate them into AI‑enabled solutions. 2. Develop, test, and maintain application code using Python, JavaScript or Java, adhering to coding standards. 3. Design and refine prompts for large language models (LLMs) to generate accurate and context‑aware outputs. 4. Integrate LLM APIs (e.g., OpenAI, Claude, Gemini) into applications and workflows. 5. Validate AI‑generated code and content for correctness, security, privacy, and performance. 6. Perform unit, integration, and functional testing of AI‑augmented features. 7. Document design decisions, validation approaches, and guardrails for AI usage. 8. Participate in Agile ceremonies, code reviews, and DevOps pipelines. 9. Support production monitoring, troubleshooting, and continuous improvement of AI services. 10. Contribute ideas for process automation and business‑process enhancements using AI. Tech Stack: Python, JavaScript/Node.js, Java, SQL/NoSQL databases, RESTful APIs, Git, CI/CD tools, LLM platforms (OpenAI, Claude, Gemini), Agile/Scrum. Growth Path: Successful interns may receive full‑time offers as Software Engineers, AI Engineers, or Product Developers, with opportunities to specialize in AI/ML, cloud platforms, or enterprise solutions. Marsh’s global network provides mentorship, certifications, and exposure to large‑scale projects. Why Join Marsh: Interns gain hands‑on experience with emerging AI technologies in a regulated industry, learn responsible AI practices, and work alongside seasoned professionals. The hybrid model offers a balanced office‑home experience, and the company’s emphasis on learning, diversity, and employee well‑being makes it an attractive launchpad for a tech career.