jobs in NEUTRON PTE. LTD.

全职 Software Engineer (AI Focus) 工作, 薪水 up to SGD 7,500, NEUTRON PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Software Engineer (AI Focus)

NEUTRON PTE. LTD.

SGD7,500 - SGD7,500 每月

Central Region (Singapore)

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工作地点

  • 298 TIONG BAHRU ROAD Central Region (Singapore) Singapore

职位描述

岗位职责

Full Stack Engineer

Position Type: Contract, with 2 days WFH

Responsibility 

The Full-Stack AI Engineer is responsible for designing, developing, deploying, and maintaining secure and scalable web applications, with a strong focus on AI-enabled development and AI application integration. The role requires strong full-stack engineering capabilities across React, Next.js, Node.js, PostgreSQL, modern AI coding tools, database-as-code, cloud, and DevOps practices. 

  • Own end-to-end application development across frontend, backend, database, AI integration, testing, and deployment. 

  • Design and develop responsive and maintainable applications using React, Next.js, TypeScript, and Node.js. 

  • Develop secure and scalable backend services, APIs, and integrations. 

  • Design and manage PostgreSQL schemas, migrations, and data models using database-as-code practices. 

  • Use AI coding assistants and agents effectively for development, testing, debugging, refactoring, and documentation while ensuring generated code is reviewed and validated. 

  • Develop AI-enabled application features through integration with LLMs and Generative AI APIs, including structured outputs, tool/function calling, RAG, and agentic workflows where applicable. 

  • Develop automated tests and proactively identify and resolve defects. 

  • Implement and maintain CI/CD pipelines for automated testing, database migration, and deployment. 

  • Apply secure development practices covering authentication, authorization, API security, secrets, data protection, and AI-specific security risks. 

  • Continuously evaluate emerging AI and software engineering technologies to improve developer productivity and application capabilities. 

Experience and Skills Needed 

Full-Stack Development 

  • Degree or Diploma in Computer Science, Engineering, Information Technology, or related disciplines, or equivalent relevant experience. 

  • Strong hands-on experience in full-stack application development. 

  • Strong proficiency with Git, JavaScript, and TypeScript. 

  • Experience taking applications or features from requirements through development, testing, and deployment. 

Frontend Technologies 

  • Fluent in React.js and Next.js. 

  • Strong proficiency in TypeScript and JavaScript. 

  • Experience with component and styling frameworks such as Tailwind CSS, shadcn/ui, or equivalent. 

  • Understanding of responsive design, accessibility, frontend performance, and modern React/Next.js architecture. 

Backend Technologies 

  • Fluent in Node.js, with experience in frameworks such as Express.js. 

  • Strong experience designing and developing RESTful APIs. 

  • Experience with authentication, authorization, integration services, and secure API development. 

  • Knowledge of GraphQL, WebSockets, or gRPC is advantageous. 

PostgreSQL & Database-as-Code 

  • Strong proficiency with PostgreSQL, relational data modelling, SQL, indexing, and query optimisation. 

  • Experience managing database schemas and migrations using database-as-code principles. 

  • Experience with ORM/database tools such as Prisma, Drizzle ORM, TypeORM, or equivalent. 

  • Understanding of database version control and automated deployment strategies. 

AI Coding & Development 

  • Proven practical experience using AI coding assistants or coding agents such as GitHub Copilot, Claude Code, OpenAI Codex, or equivalent. 

  • Ability to use AI effectively for coding, prototyping, testing, debugging, refactoring, and documentation. 

  • Experience reviewing, testing, and securing AI-generated code before production use. 

  • Experience integrating applications with LLM/Generative AI services such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or equivalent. 

  • Knowledge of AI application patterns such as prompt engineering, structured outputs, tool/function calling, RAG, embeddings, vector search, and AI agents is advantageous. 

DevOps, Cloud & Observability 

  • Experience with CI/CD pipelines on GitLab (SGTS). 

  • Hands-on experience with cloud platforms such as AWS (GCC). 

  • Experience with application logging, monitoring, error tracking, and observability tools. 

  • Understanding of containerisation and infrastructure-as-code is advantageous. 

Preferred Profile 

A hands-on engineer who combines strong full-stack engineering fundamentals with AI-native development practices. The candidate should be comfortable rapidly building applications using React/Next.js, Node.js and PostgreSQL, extensively leveraging AI coding tools while maintaining appropriate standards for architecture, security, testing, and maintainability. 

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