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 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI POWERED TECH TALENT Role Summary Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership. AI Powered Tech Talent Key Responsibilities Solution Architecture o Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs. o Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows. AI Integration o Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration. o Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems. Full-Stack Design o Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns. o Optimize API design, data flows, and UI/UX for AI-assisted features. Collaboration o Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices. Governance & Quality o Maintain architectural integrity, scalability, and reliability enforce responsible AI usage and guardrails. Must-Have Qualifications Solid foundation in enterprise engineering, SDLC, and domain/industry workflows. Demonstrated capability in using copilots and LLM tools for software development tasks. Practical understanding of AI concepts like RAG and limitations of LLMs. Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity. Does not train models or design ML architectures focuses on integration and productivity uplift. Programming & Full-Stack Skills Backend (Any 1 or more): o Java (Spring Boot) – microservices, API integration o .NET (C#) – enterprise application frameworks o Python – scripting, automation, AI API integration Frontend: o React / Angular / Vue.js – responsive UI development o TypeScript / JavaScript – modern front-end engineering Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines. Additional Information: - The candidate should have minimum 12 years of experience in Java Full Stack Development. - This position is based at our Hyderabad office. - A 15 years full time education is required.