Hybrid Full-Stack Engineer fluent in React (or Angular) on the front-end, and Java/Spring Boot, .NET (C#, ASP.NET Core), Python (FastAPI) and Node.js on the back-end. Builds responsive bilingual portals, RESTful and GraphQL services, and modern AI-native interfaces (chat UIs, RAG consoles, agent dashboards) on containerised cloud-native infrastructure.

DUTIES & RESPONSIBILITIES
Design and develop frontend components in React (or Angular) with bilingual EN/AR + RTL support.
Build backend services in Java (Spring Boot), .NET (C#, ASP.NET Core), Python (FastAPI) or Node.js.
Develop REST and GraphQL APIs; integrate with HL7/Mirth, event-driven backbones (Kafka / Event Hubs) and LLM/RAG backends.
Build AI consumption UIs: chat, RAG search, agent dashboards, prompt builders.
Write unit and integration tests (Jest, JUnit, xUnit, PyTest); participate in code reviews.
Containerise services (Docker) and deploy on Kubernetes (Helm); contribute to CI/CD pipelines.
Collaborate with the UX/UI Designer on responsive, accessible UI.
Investigate and fix defects raised by Level-2/Level-3 support.





SKILLS & ABILITIES
Solid React (or Angular) with TypeScript.
Java/Spring Boot and .NET (C#, ASP.NET Core) proficiency.
Working command of Python (FastAPI) and Node.js.
REST and GraphQL API design.
MS SQL Server and PostgreSQL.
Docker, Kubernetes and Helm.
Familiarity with LLM frameworks: LangChain, LlamaIndex, OpenAI API, vLLM.
Testing discipline (Jest, JUnit, xUnit, PyTest).
Git, Azure DevOps / GitHub Actions.

POTENTIAL BACKGROUND
Bachelor's in CS / Engineering.
5+ years full-stack experience.
Demonstrable cross-stack delivery history.
Exposure to GenAI / LLM-powered UI is a strong plus.

Preferred tools:
React / Angular, TypeScript
Java (Spring Boot), .NET (C#, ASP.NET Core)
Python (FastAPI) or Node.js
MS SQL Server, PostgreSQL
Docker, Kubernetes, Helm
LangChain, LlamaIndex, OpenAI API, vLLM
Git, Azure DevOps / GitHub Actions
Jest, JUnit, xUnit, PyTest

Soft skills:
Pragmatic engineer

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