Software Engineer II (Full stack) - Consumer Intelligence & Engagement

Overview

Build and enhance consumer-facing web applications that power AI-driven product discovery, search, recommendation, and personalization, with a primary focus on frontend development and contributions to backend services and integrations.

What you'll do

• Design and build modern web applications and user experiences that power AI-driven product discovery, search, recommendation, and personalization capabilities.
• Own end-to-end delivery of features from design and development through deployment.
• Develop reusable UI components and frontend applications using React and modern web technologies.
• Collaborate with AI/ML, Data, and Backend Engineers to integrate GenAI, recommendation, personalization, and search capabilities into consumer-facing experiences.
• Integrate frontend applications with APIs, microservices, and enterprise platforms to deliver seamless end-to-end customer journeys.
• Contribute to the development of backend services and integration layers that support frontend experiences and business workflows.
• Drive improvements in application performance, accessibility, scalability, reliability, and overall user experience.
• Participate in design reviews, code reviews, and engineering best practices to maintain high-quality software delivery.
• Leverage AI-assisted engineering tools and practices to improve productivity, code quality, and delivery effectiveness.

What you'll need

• 4+ years of experience building modern web applications and digital consumer experiences.
• Strong experience in React, TypeScript, JavaScript, and modern frontend development practices.
• Experience building responsive, scalable, and high-performing web applications with a strong focus on usability and user experience.
• Experience integrating frontend applications with REST APIs, microservices, and backend platforms.
• Good understanding of backend development using Java, Spring Boot, API design, and microservices architecture.
• Experience working with SQL/NoSQL databases, caching technologies such as Redis, and event-driven architectures such as Kafka.
• Experience building and deploying applications on cloud platforms such as Azure, AWS, or GCP.
• Good understanding of system design, application performance, observability, reliability, and operational excellence.
• Strong collaboration skills and experience working across product, design, engineering, data, and AI teams.

Nice to have

• Experience with search technologies such as Elasticsearch, OpenSearch, Azure AI Search, or similar platforms.
• Exposure to AI/ML, Generative AI, LLMs, conversational experiences, or AI-powered applications.

Details

• Location: Local Office Pune (Global Function).