Interns Applications Development

About the Role

Marsh is seeking a talented individual to join our IT team as an AI Native Intern, based in Pune. This is a hybrid role, requiring at least three days a week in the office. The designation is Engineer IT application team, part of an in-house application development and support team for a suite of applications used by the Insurance Broking & Employee Benefit business.

Key Responsibilities

• 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.
• 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.
• 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.

Requirements & Tech Stack

• 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.
• Demonstrated practical application of AI in at least one project, prototype, workflow, or use case beyond code generation.
• Exposure to API development, front-end frameworks, server-side programming, DevOps tooling.
• Openness to work in a 24x7 shift environment when required.

Qualifications

• 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.
• Learning Agility: Ability to pick up new tools, patterns, and frameworks fast and apply them independently.
• Critical Thinking: Ability to interrogate AI outputs and ask "why" and "so what?".
• Adaptability: Ability to thrive in ambiguous, rapidly changing environments.
• Analytical Thinking: Ability to break complex problems into structured components and reason from data and evidence.
• Collaboration: Ability to work effectively across engineering, product, and business teams.
• Digital Literacy: Comfort navigating new digital tools and ecosystems.
• Innovation Mindset: 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.
• 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.
• Security Hygiene: Awareness of security risks in AI-assisted development.
• Business Context: Ability to align AI outputs with real business objectives and assess return on investment.