Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have

skills:
Java Full Stack Development Positive to have

skills:
NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: Role Summary AI POWERED TECH TALENT 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.

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 drive adoption of AI-assisted development practices. Governance & Quality
• 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):
• Java (Spring Boot) – microservices, API integration
• .
NET (C#) – enterprise application frameworks
• Python – scripting, automation, AI API integration Frontend:
• React / Angular / Vue.js – responsive UI development
• 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 Chennai office.
• A 15 years full time education is required.

📌 Custom Software Engineer (Chennai)
🏢 Accenture in India
📍 Chennai