Intern – Applications Development

Marsh McLennan

. Collaborate with cross-functional teams to design, build, integrate, test, and support AI-enabled solutions .

Posted 10/12/2026full-timeGurugram • IndiaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML concepts and generative AI systems, with hands-on experience in programming languages such as Python and JavaScript. Proficient in integrating LLM APIs and applying Agile/Scrum methodologies within a collaborative, fast-paced environment.

Highest-signal resume keywords

AI/ML ConceptsGenerative AI SystemsPython ProgrammingLLM API IntegrationAgile/Scrum Methodologies

ATS Keywords

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Hard Skills

PythonJavaScriptJavaC#SQLNoSQLAPI DevelopmentPrompt DesignAI Code ValidationSoftware Engineering

Soft Skills

CollaborationAdaptabilityProblem-Solving

Tools & Technologies

GitHub CopilotClaudeGeminiDevOps ToolingFront-End Frameworks

Industry Keywords

AI-Enabled SolutionsGenerative AIData LeakagePrompt InjectionCompliance

Tech Stack

Tools & technologies

JavaJavaScriptNoSQLPythonSQL

About the role

Key responsibilities & impact

Collaborate with cross-functional teams to design, build, integrate, test, and support AI-enabled solutions
Use AI-powered developer tools including GitHub Copilot, Claude, and Gemini
Integrate LLM APIs into day-to-day development workflows
Apply prompt design and structured interaction techniques for generative AI systems
Verify and validate AI-assisted outputs for correctness, relevance, logic, security, privacy, performance, and fitness for purpose
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 approaches, and technical rationale
Support business process improvement initiatives
Learn and apply software engineering, Agile/Scrum, and DevOps best practices
Adapt to a fast-changing AI-enabled project environment

Requirements

What you’ll need

B.E. / B. Tech degree in Computer Science, Information Technology, or a 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
Ability to write, refine, and iterate effective prompts for generative AI tools
Understanding of generative AI models, their probabilistic nature, limitations, and failure modes
Practice reviewing and validating AI-generated code
Awareness of security risks in AI-assisted development, including prompt injection, data leakage, and compliance
Exposure to API development, front-end frameworks, server-side programming, and DevOps tooling
Openness to work in a 24x7 shift environment when required

Benefits

Comp & perks

Hybrid work with flexibility to work remotely and collaborate in the office
Professional development through structured learning, mentoring, and access to Marsh McLennan's global development programmes
Inclusive and diverse workplace
Career pathways to specialist AI roles, engineering tracks, and cross-functional rotations
Exposure to AI integration in real enterprise software
Global development and cross-functional learning opportunities