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…