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Marsh & McLennanVia Unstop

Posted 5d ago

Applications Development Intern

Pay

Stipend (undisclosed)

Location

Mumbai, Pune, India

On site

Type

Internship

Apply by

24 Oct

6 days left

Skills this role screens for

Artificial intelligence (AI)PythonMachine learning conceptsSQLSoftware development life cycle (sdlc)

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About the role

Marsh & McLennan is hiring for teh role of Applications Development Intern!

The work

Responsibilities of the Intern

  • 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.
  • 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.

Who they want

Requirements

  • 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
  • Demonstrated practical application of AI in at least one project, prototype, workflow, or use case beyond code generation.

Where this listing comes from

From a public listing board (Unstop).

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