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

Role Summary
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
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 integration
o.NET (C#) enterprise application frameworks
oPython scripting, automation, AI API integration
Frontend:
oReact / Angular / Vue.js responsive UI development
oTypeScript / 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.
- A 15 years full time education is required.

Qualification15 years full time education