The posting
Company:
Marsh
Description:
This role is designed for fresh graduates who are passionate about leveraging artificial intelligence and modern software development practices to deliver enterprise-grade solutions. You will work at the frontier of AI-enabled development, integrating generative AI tools and LLM technologies into real software systems while maintaining the highest standards of code quality and security.
Key Responsibilities
In this role, you will:
• Design, build, and validate end-to-end AI-enabled solutions using coding assistants (GitHub Copilot, Claude, Gemini) and LLM APIs, with rigorous verification for security, performance, and production fitness
• Collaborate across engineering, product, and business teams to deliver practical business outcomes; document design decisions, assumptions, and validation approaches for all AI-enabled features
• Master prompt engineering and structured interaction techniques to extract reliable, contextual outputs from generative AI systems for real-world engineering and business use cases
• Apply SDLC best practices, Agile/Scrum methodologies, and DevOps principles within fast-changing, AI-augmented environments; demonstrate learning agility and resilience in adapting to evolving technologies
• Participate across the full solution lifecycle—problem framing, design, integration, testing, deployment, monitoring, and support—ensuring code quality and security hygiene throughout
Required Qualifications & Knowledge
Education & Experience
- Bachelor's degree (B.E./B.Tech) in Computer Science, Information Technology, or related engineering discipline
- Minimum 60% aggregate in graduation and post-graduation studies
- Will graduate in 2027 with no active backlogs in any subject
- Must have completed a development project during graduation/post-graduation
Technical Skills
- Hands-on exposure to at least one modern programming language – Python, JavaScript, Java, C#, or equivalent
- Fundamental programming knowledge with understanding of Object-Oriented Programming (OOP) principles
- 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 (Strong SQL fundamentals required; exposure to MongoDB/NoSQL preferred)
- Exposure to modern technology stacks including .NET, JavaScript, or Open Source (MEAN Stack)
- Demonstrated practical application of AI in at least one project, prototype, workflow, or use case beyond code generation
- Conceptual understanding of DBMS/RDBMS/NoSQL databases
Professional Attributes
What Makes You Stand Out
- Analytical & Critical Thinking — Interrogate AI outputs and data; break complex problems into structured components
- Digital Literacy & Prompt Engineering Mastery — Navigate new digital tools confidently; understand LLM foundations
- Code Verification & Security Discipline — Review and validate AI-generated code for correctness, logic, security, privacy, and performance; maintain rigorous quality standards and security hygiene
- Cross-Functional Collaboration & Business Acumen — Work effectively across engineering, align AI outputs with real business objectives; communicate technical concepts clearly;
- Learning Agility & Self-Starter Mentality — Pick up new AI tools, patterns, and frameworks independently;
Work Environment & Flexibility
- Requirement to work at least three days a week from the office
- Ability to work a flexible schedule to accommodate off-hours work and delivery requirements
- Openness to work in 24x7 shift environment when needed
Why Join Our Team
- Work at the frontier – you will be part of a team actively integrating AI into real enterprise software, not just experimenting in a sandbox
- Professional development – we invest in your growth through structured learning, mentoring, and access to Marsh McLennan's global development programmes
- Inclusive culture – we foster a vibrant, diverse workplace where different perspectives drive better solutions for colleagues, clients, and communities
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
