AI Native Software Engineer

Overview

Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development, acting as a bridge between traditional engineering teams and AI-native specialists.

What you'll do

• Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
• Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
• Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
• Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
• Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
• Optimize API design, data flows, and UI/UX for AI-assisted features.
• Act as a liaison between traditional engineering teams and AI-native squads and drive adoption of AI-assisted development practices.
• Maintain architectural integrity, scalability, and reliability and enforce responsible AI usage and guardrails.

What you'll need

• Minimum 12 years of experience in Java Full Stack Development.
• 15 years full time education.
• 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.
• Backend (any one or more): Java (Spring Boot) with microservices and API integration; .NET (C#) with enterprise application frameworks; Python for scripting, automation, and AI API integration.
• Frontend: React, Angular, or Vue.js for responsive UI development; TypeScript / JavaScript for modern front-end engineering.
• SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.

Details

• Location: Chennai.