AI Native Software Engineer

Project Role : AI Native Software Engineer Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated. Must have skills : Java Full Stack Development Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI POWERED TECH TALENT Title: Mid-Level Application Architect / Senior Developer Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. The ideal candidate will have robust experience in Java and/or .NET, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. AI Powered Tech Talent. Proven experience in cloud, DevOps, or AI modernization initiatives. Strong understanding of LLMs, automation, and engineering toolchains. Ability to translate AI innovation into business and productivity impact. Key Responsibilities: Hands-On Coding: Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in any of the programming language like Java, .NET, and Python for backend systems, and contributing to front-end development using React or Angular. Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments. Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues). Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance. AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.