Custom Software Engineer

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
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 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.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 frameworksPython scripting, automation, AI API integration Frontend: React / Angular / Vue.js responsive UI developmentTypeScript / JavaScript modern front-end engineering Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.

The candidate should have minimum 12 years of experience in Java Full Stack Development.

A 15 years full time education is required.
Qualification 15 years full time education