Engineer - Applications Development

Overview

Engineer role on the in-house Applications Development and Support team for a suite of applications used by the Insurance Broking & Employee Benefit business, focused on building AI-enabled solutions.

What you'll do

• 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.
• 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.

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.
• Openness to work in a 24x7 shift environment when required.

Details

• Location: Mumbai / Pune / Noida / Gurugram.
• Hybrid role: working at least three days a week in the office.
• Internship.
• Office-based teams identify at least one anchor day per week on which the full team is together in person.