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MABASA / LINKEDIN

Full Stack Engineer

Elliott Moss Consulting

Location
Singapore, Singapore
Work type
contract
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert
Advertised salary
USD 13,000-14,500

Job description from the source

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. **Requirements** * Diploma or degree in Computer Science, IT, or a related discipline. * **3+ 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.

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