Experience
12 - 17 yrs
Salary (CTC)
₹800,000 - ₹880,000
Job Location
Chennai, India
Vacancy
1
Designation
Software Engineer
Job Type
ONSITE
Job Description
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
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Role SummaryDesign 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 oDefine end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.oEnsure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows. AI Integration oUse AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.oIncorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems. Full-Stack Design oArchitect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.oOptimize API design, data flows, and UI/UX for AI-assisted features. Collaboration oAct as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices. Governance Quality oMaintain 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):oJava (Spring Boot) - microservices, API integrationo.NET (C#) - enterprise application frameworksoPython - scripting, automation, AI API integration Frontend:oReact / Angular / Vue.js - responsive UI developmentoTypeScript / 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:
Qualification 15 years full time education
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