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全职 Full Stack Software Engineer (AI Engineer) 工作, 薪水, Ambition 公司招聘中 - Ricebowl

Full Stack Software Engineer (AI Engineer)

Ambition

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Our client is a technology-focused software engineering and innovation company that develops modern digital solutions for enterprise and public sector environments. The team works extensively across full-stack application development, cloud technologies, DevOps, and emerging AI capabilities, including Generative AI and intelligent automation. Engineers have the opportunity to build scalable, cloud-native applications, integrate AI-driven features, and collaborate closely with product, design, and engineering teams to deliver impactful digital products in a fast-paced, innovation-led environment.


Responsibilities


  • Design, develop, and maintain full-stack web applications using modern front-end technologies (React, HTML, CSS, JavaScript) and back-end technologies (Python, Node.js, SQL/NoSQL databases).
  • Develop and integrate AI-powered capabilities including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions into enterprise applications.
  • Build, test, deploy, and support cloud-native applications across AWS, Azure, or GCP environments, following DevOps, CI/CD, and secure coding best practices.
  • Collaborate with UX/UI designers, engineers, QA teams, and business stakeholders to deliver scalable, high-quality solutions, prototypes, and production-ready applications.
  • Troubleshoot technical issues, create technical documentation, and stay current with emerging technologies and AI development trends.


Requirements


  • Degree in Computer Science, Engineering, Information Systems, or a related field.
  • Minimum 3 years of hands-on software development experience delivering enterprise or large-scale applications.
  • Strong experience with React, HTML, CSS, JavaScript, Python, Node.js, and SQL/NoSQL databases.
  • Experience with cloud platforms (AWS, Azure, or GCP), test automation, CI/CD pipelines, and Agile development methodologies.
  • Exposure to Docker, Kubernetes, and AI/LLM application development is highly preferred.
  • Strong communication, problem-solving, and stakeholder management skills with the ability to work effectively in cross-functional teams.


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