Senior Custom Software Engineer - Full Stack Development with AI Integration

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

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
o Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
o Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
AI Integration
o Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
o Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
Full-Stack Design
o Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
o Optimize API design, data flows, and UI/UX for AI-assisted features.
Collaboration
o Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.
Governance & Quality
o 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):
o Java (Spring Boot) – microservices, API integration
o .NET (C#) – enterprise application frameworks
o Python – scripting, automation, AI API integration
Frontend:
o React / Angular / Vue.js – responsive UI development
o TypeScript / 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.