The AI Application Developer is the primary builder for each project. The developer takes requirements end-to-end-from understanding the functional need and application design to delivering a working solution-and works directly with the internal IT team that bridges the business and...
The AI Application Developer is the primary builder for each project. The developer takes requirements end-to-end-from understanding the functional need and application design to delivering a working solution-and works directly with the internal IT team that bridges the business and offshore team. A core requirement is the ability to interpret requirements and translate them into precise, well-structured Claude prompts that produce high-quality, complete application code across backend, frontend, and AI services.
Skillset Required
Claude AI Development (Must Have)
- Build full-stack applications end-to-end using Claude (Anthropic) .
- Capability must be demonstrated through a practical assessment.
Prompt Engineering (Must Have)
- Create structured and precise prompts that direct Claude to generate production-quality code across Java, Python, and React.
Business Analysis (Must Have)
- Interpret requirements from the Aujan IT team and translate business needs into technical designs.
Backend - Java (Must Have)
- Strong experience with Java (OpenJDK 21) .
- Build business logic and REST APIs using Spring Boot .
Backend - Python (Must Have)
- Develop AI microservices using Python and FastAPI alongside the Java backend.
AI Frameworks (Strong Advantage)
- Experience with Spring AI .
- Knowledge of LangChain and LangGraph for agent-based AI use cases.
Frontend UI (Must Have)
- Proficiency in React , Next.js , and TypeScript .
Frontend UI (Strong Advantage)
- Experience developing Progressive Web Apps (PWAs) .
AI Platform (Strong Advantage)
- Hands-on experience with Microsoft Foundry / Azure OpenAI , including API integration and model selection.
- Experience using Azure AI Search to query application indexes.
Data (Must Have)
- Design data models using Azure SQL .
- Create JPA entities and manage schema migrations.
Infrastructure (Must Have)
- Containerize Java and Python services using Docker .
Infrastructure (Robust Advantage)
- Knowledge of Azure Container Apps .
- Experience with Azure Entra ID (MSAL) for authentication.
- Understanding of Azure Key Vault for deployment and security.
Experience Requirement
- Minimum 4-5 years of software development experience.
- Demonstrable experience building applications using Claude or equivalent AI coding assistants in a production environment is essential.
- Candidates who have built complete solutions primarily through AI-assisted development will be preferred.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.