Product Engineer (AI-Native Platforms & Intelligent Applications) (Chennai)

Product Engineer (AI-Native Platforms & Intelligent Applications) Location: STPI Building, Taramani, Chennai Experience: 2 to 6 Years Employment Type: Full-Time Build the Future of AI-Powered Enterprise Software NilaApps is an AI-native product engineering company building intelligent SaaS platforms, enterprise applications, mobile solutions, and AI-powered automation products used by organizations around the world. We're looking for exceptional Product Engineers who enjoy solving difficult problems, building products from first principles, and using modern AI technologies to redefine how software is designed, developed, and delivered. This is an opportunity to join a fast-growing engineering organization where your ideas influence products, architecture, and customer outcomes--not just the code you write. About NilaApps NilaApps develops cloud-native enterprise software for customers across multiple industries, combining modern software engineering, artificial intelligence, automation, and mobile technologies to build scalable products that solve real-world business challenges. Our engineering teams embrace modern development practices including: - AI-assisted software development - Cloud-native architecture - Continuous delivery - Product ownership - Automation-first engineering - Customer-driven innovation We believe exceptional software is created by curious engineers who continuously learn, challenge assumptions, and take ownership. The Opportunity As a Product Engineer, you'll participate in every stage of the product lifecycle from understanding customer problems and designing scalable architectures to building, deploying, and continuously improving production systems. You'll collaborate directly with founders, product managers, designers, customers, and fellow engineers to deliver software that creates measurable business value. Rather than working within narrowly defined responsibilities, you'll have the opportunity to contribute across architecture, cloud infrastructure, AI integration, application development, product innovation, and engineering excellence. What You'll Build Depending on your interests and experience, you'll contribute to products including: - AI-powered Enterprise SaaS Platforms - Intelligent Learning & Workforce Solutions - AI Agents and Agentic Workflows - Enterprise Automation Platforms - Mobile Applications - Intelligent Analytics Dashboards - Compliance & Governance Solutions - Large-scale Cloud-native Applications - Enterprise API Platforms - Intelligent Business Process Automation Your Responsibilities You will - Design, develop, and maintain scalable enterprise software platforms. - Build cloud-native backend services using Java, Spring Boot, and Microservices. - Develop responsive web and mobile applications using Angular, React, Ionic, Swift, and iOS technologies. - Design secure, scalable APIs and enterprise integrations. - Build AI-enabled features using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern AI services where appropriate. - Develop scalable applications on AWS using serverless and cloud-native architectures. - Write clean, maintainable, well-tested software following modern engineering practices. - Design automated testing strategies and contribute to CI/CD pipelines. - Participate in architecture reviews and technical design discussions. - Continuously improve engineering processes through automation and AI-assisted development. - Work directly with customers to understand business challenges and deliver meaningful solutions. - Mentor team members and contribute to a culture of technical excellence. AI is Part of Our Engineering Culture Artificial Intelligence isn't a separate team--it's part of how we engineer software. Our engineers actively leverage AI to improve productivity, software quality, and product innovation. You'll have opportunities to work with technologies including: - Generative AI - Large Language Models (LLMs) - AI Agents - Agentic Workflows - Model Context Protocol (MCP) - Retrieval-Augmented Generation (RAG) - Prompt Engineering - AI-assisted Software Development - Intelligent Workflow Automation - OpenAI APIs and AI Platforms Previous experience is valuable but not mandatory. Curiosity, experimentation, and continuous learning are essential. Technologies You'll Work With Backend - Java - Spring Boot - Spring Cloud - REST APIs - Microservices - Distributed Systems Frontend & Mobile - Angular - React - TypeScript - Ionic - Swift - iOS - Xcode Cloud & Infrastructure - AWS - Serverless Computing - Lambda - EC2 - Docker - CloudFormation - CI/CD - Infrastructure Automation Databases - PostgreSQL - MySQL - SQLite - Relational Database Design AI & Intelligent Applications - Generative AI - Large Language Models (LLMs) - AI Agents - Prompt Engineering - RAG - MCP - AI Automation Our Engineering Principles We believe great engineers - Build products--not .