# Intern - Applications Development at Marsh McLennan

Marsh McLennan is hiring an Intern - Applications Development in Pune, India. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/2feb372d-f645-43cc-a477-f9de43d106ae?utm_medium=ai-agent).

AI Level 3, AI centrality 62 out of 100. Pune - Panchshil.

## Details

- Company: [Marsh McLennan](https://jobsbylevel.com/companies/marsh-mclennan)
- AI level: AI Level 3 (score 62 out of 100)
- Location: Pune - Panchshil
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/2feb372d-f645-43cc-a477-f9de43d106ae?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/intern-applications-development-at-marsh-mclennan-e9246d

## Description

Company: Marsh Description: Marsh is seeking a talented individual to join our IT team as an Intern. This role is based in Mumbai / Pune / Noida / Gurugram. This is a hybrid role with a requirement of working at least three days a week in the office. Designation: Engineer IT application team is an in-house application development and support team for a suite of applications used by the Insurance Broking & Employee Benefit business We will count on you to: • Collaborate with cross-functional teams to design, build, integrate, test, and support high-quality AI-enabled solutions that deliver practical business outcomes. • Harness AI-powered developer tools – including coding assistants such as GitHub Copilot, Claude, and Gemini – and integrate LLM APIs as active accelerators across your day-to-day development workflow, not as an afterthought. • Apply prompt design and structured interaction techniques to obtain reliable, contextual outputs from generative AI systems for practical engineering and business use cases. • Verify and validate AI-assisted outputs for correctness, relevance, logic, security, privacy, performance, and fitness for purpose before they are used in production or decision-making. • Participate in the full lifecycle of AI-enabled solution delivery, including problem framing, design, integration, testing, deployment, monitoring, and support. • Document solution assumptions, design decisions, guardrails, validation approach, and technical rationale for AI-enabled features and workflows, and support business process improvement initiatives.[PS1.1] • Learn and apply best practices in software engineering, Agile/Scrum, and DevOps within an AI-augmented team. • Adapt quickly to a fast-changing AI-enabled project environment, demonstrating resilience and a growth mindset. What you need to have: • B.E. / B. Tech degree (Computer Science, Information Technology, or related engineering discipline). • Minimum 60% aggregate in Graduation and Post Graduation. • Will Graduate in 2027 with no active backlogs in any subject. • Hands-on exposure to at least one modern programming language – Python, JavaScript, Java, C#, or equivalent. • Strong understanding of AI/ML and generative AI concepts, including LLM behavior, prompting, retrieval, evaluation, limitations, and common failure modes. • Working knowledge of SQL and/or NoSQL databases[PS2.1]. • Demonstrated practical application of AI in at least one project, prototype, workflow, or use case beyond code generation. What makes you stand out: • Learning Agility – you pick up new tools, patterns, and frameworks fast and apply them independently. • Critical Thinking – you interrogate AI outputs rather than accepting them at face value; you ask "why" and "so what?" • Adaptability – you thrive in ambiguous, rapidly changing environments where the best practice of today may be outdated by next quarter. • Analytical Thinking – you break complex problems into structured components and reason from data and evidence. • Collaboration – you work effectively across engineering, product, and business teams. • Digital Literacy – you are comfortable navigating new digital tools and ecosystems with minimal handholding. • Innovation Mindset – you actively explore new ways to do things better, faster, or with greater impact using AI. • Prompt Engineering – ability to write, refine, and iterate effective prompts for generative AI tools to produce reliable, contextual outputs. • LLM Foundations – understanding of how generative AI models work, their probabilistic nature, limitations, and failure modes. • Code Verification & Quality – disciplined practice of reviewing and validating AI-generated code, not just accepting it. • Security Hygiene – awareness of security risks in AI-assisted development, including prompt injection, data leakage, and compliance. • Business Context – ability to align AI outputs with real business objectives and assess return on investment. • Modern Tech Stacks –

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/intern-applications-development-at-marsh-mclennan-e9246d

Source: https://jobsbylevel.com/jobs/intern-applications-development-at-marsh-mclennan-e9246d

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Level. https://jobsbylevel.com/jobs/intern-applications-development-at-marsh-mclennan-e9246d.

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