Custom Software Engineer

About The Role


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
AdditionalSQL/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.



Qualification
15 years full time education