Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.

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 : 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 integrationo .NET (C#) - enterprise application frameworkso Python - scripting, automation, AI API integration

- Frontend : React / Angular / Vue.js - responsive UI developmento TypeScript / JavaScript - modern front-end engineering

- Additional : SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines