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About the role
As a Custom Software Engineer Project, your role involves developing custom software solutions to design, code, and enhance components across systems or applications. You will use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Key Responsibilities: - Solution Architecture - 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. - AI Integration - 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. - Full-Stack Design - 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. - Collaboration - Act as a liaison between traditional engineering teams and AI-native squads to drive adoption of AI-assisted development practices. - Governance & Quality - Maintain architectural integrity, scalability, and reliability to 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 but focuses on integration and productivity uplift. Programming & Full-Stack Skills: - Backend: Java (Spring Boot), .NET (C#), Python - Frontend: React / Angular / Vue.js, TypeScript / JavaScript - Additional Skills: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines As a Custom Software Engineer Project, you should have a minimum of 12 years of experience in Java Full Stack Development. This position is based at our Chennai office and requires a candidate with 15 years of full-time education. As a Custom Software Engineer Project, your role involves developing custom software solutions to design, code, and enhance components across systems or applications. You will use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Key Responsibilities: - Solution Architecture - 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. - AI Integration - 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. - Full-Stack Design - 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. - Collaboration - Act as a liaison between traditional engineering teams and AI-native squads to drive adoption of AI-assisted development practices. - Governance & Quality - Maintain architectural integrity, scalability, and reliability to 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 but focuses on integration and productivity uplift. Programming & Full-Stack Skills: - Backend: Java (Spring Boot), .NET (C#), Python - Frontend: React / Angular / Vue.js, TypeScript / JavaScript - Additional Skills: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines As a Custom Software Engineer Project, you should have a minimum of 12 years of experience in Java Full Stack Development. This position is based at our Chennai office and requires a candidate with 15 years of full-time education.
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