全职 Engineer Fullstack 工作, 薪水 up to SGD 13,000, ELLIOTT MOSS CONSULTING PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Job Description

·      We are seeking a Full Stack Engineer with strong application development skills and hands-on experience in AI-assisted coding. 

·      The role involves building scalable web applications, developing APIs, and integrating Generative AI capabilities into enterprise solutions. 

Key Responsibilities 

·      Design, develop, test, and deploy full-stack applications and APIs. 

·      Build responsive frontends using React, Angular, or Vue.js and backend services using Node.js, Python, or Golang. 

·      Develop microservices, system integrations, and data solutions using SQL and NoSQL databases. 

·      Leverage AI coding assistants such as GitHub Copilot, Cursor, Claude Code, or Gemini Code Assist to improve development productivity. 

·      Apply prompt engineering and validate AI-generated code for quality, security, and maintainability. 

·      Integrate LLMs and Generative AI capabilities, including RAG, chatbots, and AI agents.

·      Implement automated testing, secure coding, code reviews, and CI/CD pipelines. 

·      Deploy and monitor applications using Docker, Kubernetes, and cloud platforms.

·       Collaborate with cross-functional teams and follow responsible AI practices, including data privacy and intellectual property protection. 

Minimum Requirements

·      Diploma or degree in Computer Science, IT, or a related discipline. 

·      3–8 years of professional full-stack development experience. 

·      Strong hands-on experience with at least one backend technology: Node.js, Python, or Golang. 

·      Experience with React, Angular, or Vue.js, JavaScript/TypeScript, HTML, and CSS. 

·      Good understanding of REST APIs, microservices, system integration, and SQL/NoSQL databases. 

·      Experience with Git, Agile development, automated testing, and CI/CD. 

·      Working knowledge of Docker, Kubernetes, and AWS, Azure, or GCP. 

·      Demonstrated practical experience using AI-assisted coding tools. 

·      Understanding of prompt engineering, LLMs, embeddings, vector search, and RAG. 

·      Exposure to at least one GenAI platform, such as OpenAI, Azure OpenAI, Amazon Bedrock, Anthropic Claude, or Google Vertex AI.

·      Strong problem-solving, communication, and collaboration skills. 

·      Good to Have Experience delivering GenAI applications, RAG solutions, chatbots, or AI agents. 

·      Familiarity with LangChain, LlamaIndex, vector databases, or Model Context Protocol (MCP). 

·      Knowledge of AI evaluation, guardrails, and responsible AI practices.