Role Overview
We’re seeking a skilled and proactive Full Stack Developer with deep expertise in Angular, .NET, and SQL to join our dynamic engineering team. You’ll design, develop, and maintain end-to-end features for our enterprise-grade applications, from intuitive front-end interfaces to high-performance back-end services and databases.
The ideal candidate thrives on autonomy, actively researches emerging frameworks and tools, and isn’t afraid to experiment with novel solutions to optimize our stack. Experience with AI tools or Retrieval-Augmented Generation (RAG) systems is a strong plus!
Key Responsibilities
Develop and maintain responsive, high-performance web applications using Angular (v18+) for the front end.
Build scalable, secure APIs and services using .NET Core/.NET 6+ (C#).
Design, optimize, and troubleshoot complex SQL queries, stored procedures, and database schemas (SQL Server/PostgreSQL preferred).
Collaborate with product managers, designers, and engineers to translate requirements into clean, efficient code.
Proactively research, evaluate, and integrate new libraries, frameworks, or tools to solve technical challenges.
Write unit/integration tests, participate in code reviews, and uphold best practices for security and performance.
Bonus: Leverage AI tools (e.g., GitHub Copilot, LLM APIs) or implement RAG systems to enhance application intelligence, search, or automation.
Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field from a local university in Singapore
3+ years of professional experience in full stack development.
Front End: Expertise in Angular 18+ (RxJS, NgRx, TypeScript, Angular CLI).
Back End: Strong proficiency in .NET Core/.NET 6+, RESTful APIs, Entity Framework, and dependency injection.
Database: Advanced SQL skills (query optimization, indexing, transaction management) with experience in relational databases (e.g., SQL Server, PostgreSQL).
Familiarity with Git, CI/CD pipelines, and cloud platforms (Azure/AliCloud).
Excellent problem solving and analytical skills
Strong communication (English, Chinese) and teamwork skills
Self-driven learner who independently explores and adopts new technologies to improve solutions.
Preferred Qualifications (Nice-to-Have)
Experience with AI/ML tools (e.g., LangChain, LlamaIndex, vector databases like Pinecone/Qdrant).
Hands-on work with RAG (Retrieval-Augmented Generation) architectures or LLM integration.
Knowledge of Docker, Kubernetes, or microservices patterns.
Understanding of DevOps practices
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