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 : Puppet,Chef,Ansible, Teamcity, Python, Shell Script
Minimum 12 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
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.AI Powered Tech Talent
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 – up-to-date 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.

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