Marsh Hiring: Intern – Applications Development 2026:-
Marsh is hiring candidates for the role of Intern – Applications Development (AI Native Intern) in Pune, Maharashtra, India. Complete job details are given below.
| Company: | Marsh (Marsh McLennan) |
| Job Role: | Intern – Applications Development (AI Native Intern) |
| Designation: | Engineer |
| Location: | Pune, Maharashtra, India |
| Job Type: | Internship |
| Department: | IT – Application Development |
| Work Mode: | Hybrid (Minimum 3 days per week in the office) |
| Experience: | Freshers / Eligible Students |
| Graduation Year: | 2027 |
| Salary: | As per Company Standards |
About Company:-
Marsh is a global insurance brokerage and risk advisory company operating as part of Marsh McLennan. The company provides insurance broking, risk management, employee benefits, and consulting services to businesses worldwide.
Marsh uses technology and digital solutions to improve business operations, customer experience, risk assessment, and enterprise application development.
Role Overview:-
As an AI Native Intern – Applications Development, you will work with the IT application development team to design, develop, integrate, test, and support AI-enabled software solutions for the Insurance Broking and Employee Benefits business.
You will use modern AI-powered development tools such as GitHub Copilot, Claude, and Gemini to improve software development productivity. The role also involves prompt engineering, working with Large Language Models (LLMs), validating AI-generated outputs, and integrating AI capabilities into practical business applications.
You will participate in the complete software development lifecycle, including requirement analysis, solution design, development, testing, deployment, monitoring, and application support.
Educational Requirements:-
Candidates must meet the following educational qualifications:
- B.E. / B.Tech in Computer Science, Information Technology, or a related engineering discipline.
- Minimum 60% aggregate in Graduation and Post Graduation, where applicable.
- Must be graduating in 2027.
- No active backlogs in any subject.
- Hands-on knowledge of at least one modern programming language.
- Practical exposure to AI/ML or Generative AI through a project, prototype, workflow, or use case.
Key Skills:-
Technical Skills
- Python / JavaScript / Java / C# Programming
- Artificial Intelligence (AI) and Machine Learning (ML)
- Generative AI and Large Language Models (LLMs)
- Prompt Engineering
- LLM API Integration
- SQL and NoSQL Databases
- Software Development and Application Support
- API Development and Integration
- AI-Assisted Coding and Debugging
- Software Testing and Code Validation
- Git and Version Control
- Basic DevOps and Agile/Scrum Methodologies
AI & Generative AI Skills
- Understanding of LLM behavior and limitations
- Prompt design and prompt optimization
- AI-generated code review and verification
- Retrieval-based AI workflows
- AI output evaluation and validation
- Identification of hallucinations and incorrect outputs
- AI security and data privacy awareness
- Understanding of prompt injection and data leakage risks
- Practical implementation of AI in business use cases
Software Development Skills
- Requirement Analysis
- Application Design and Development
- REST API Fundamentals
- Database Queries and Data Management
- Debugging and Troubleshooting
- Unit Testing and Integration Testing
- Technical Documentation
- Application Deployment and Monitoring
- Process Improvement and Automation
Soft Skills
- Strong analytical and problem-solving abilities
- Critical thinking and logical reasoning
- Good verbal and written communication
- Quick learning and adaptability
- Team collaboration
- Attention to detail
- Innovation and creative thinking
- Time management
- Willingness to work in a 24×7 shift environment when required
Roles & Responsibilities:-
AI Application Development
- Collaborate with cross-functional teams to design, develop, integrate, test, and support AI-enabled business applications.
- Use AI-powered development tools such as GitHub Copilot, Claude, and Gemini to assist with coding, debugging, and software development.
- Integrate Large Language Model (LLM) APIs into applications and business workflows.
- Develop practical AI solutions that improve business processes and operational efficiency.
Prompt Engineering & Generative AI
- Design, test, and refine prompts to generate accurate, relevant, and contextual AI responses.
- Apply structured prompting techniques to improve the reliability of AI-generated outputs.
- Explore Generative AI use cases for software development and business process automation.
- Understand LLM behavior, limitations, hallucinations, and common failure modes.
- Evaluate AI-generated responses to ensure they meet functional and business requirements.
Code Verification & Quality Assurance
- Review and validate AI-generated code before integrating it into applications.
- Test AI-assisted solutions for correctness, performance, security, and reliability.
- Identify errors, inconsistencies, and potential risks in AI-generated outputs.
- Support unit testing, integration testing, debugging, and defect resolution.
- Ensure AI-enabled solutions meet established quality standards.
Application Development & Integration
- Participate in the full software development lifecycle, from requirement analysis to deployment and support.
- Assist in developing application features using Python, JavaScript, Java, C#, or other relevant technologies.
- Work with SQL or NoSQL databases to retrieve, store, and manage application data.
- Support API integration between AI models and enterprise applications.
- Collaborate with product, business, and technology teams to understand requirements and deliver solutions.
AI Security & Data Privacy
- Follow security and privacy guidelines when using AI tools and enterprise data.
- Identify risks related to prompt injection, sensitive data exposure, and inappropriate AI outputs.
- Apply appropriate validation and safeguards to AI-enabled workflows.
- Ensure AI-generated content and code are reviewed before production use.
Testing, Deployment & Monitoring
- Support application testing, deployment, and ongoing maintenance.
- Assist in monitoring AI-enabled features and identifying performance issues.
- Document technical decisions, assumptions, validation methods, and implementation details.
- Follow software engineering best practices, Agile/Scrum processes, and DevOps principles.
- Contribute to continuous improvement and automation initiatives.
Team Collaboration & Documentation
- Coordinate with engineering, product, and business teams to understand project requirements.
- Communicate technical findings and project updates effectively.
- Prepare technical documentation and maintain development records.
- Learn new AI frameworks, development tools, and technologies as required.
- Contribute ideas to improve application performance, development productivity, and business outcomes.
Eligibility Criteria:-
- Candidates graduating in 2027 are eligible.
- B.E. / B.Tech in Computer Science, IT, or a related engineering discipline.
- Minimum 60% aggregate in Graduation and Post Graduation, where applicable.
- No active backlogs.
- Hands-on experience with at least one programming language.
- Understanding of AI/ML and Generative AI concepts.
- Working knowledge of SQL and/or NoSQL databases.
- At least one practical AI project, prototype, workflow, or use case beyond simple code generation.
- Strong communication, analytical, and problem-solving skills.
- Willingness to work in a hybrid model with at least three days per week in the office.
- Openness to working in a 24×7 shift environment when required.
Marsh Hiring: Intern – Applications Development 2026 Application Process:-
Interested candidates can apply from the given below link.
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
