32份Full Stack Developer工作在Petaling Jaya - September 2026

显示32个工作的结果 "full stack developer" Petaling Jaya
不要错过任何 Full Stack Developer 的新工作机会 在 Petaling Jaya
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
a month ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
MYR7,000 - MYR9,500 每月
靠近火车站
  • 计算机 / 软件工程相关 Diploma 或 Degree。
  • 3年以上全栈开发经验。
  • 熟悉系统架构与业务逻辑。 ...
Posted
4 months ago
Posted
a month ago
Posted
a month ago

Accenture Southeast Asia

Posted
19 days ago
Posted
19 days ago
Posted
13 days ago
Posted
8 days ago
  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
  • Minimum 5 years of hands-on experience in full-stack development, including proven experience building AI-powered applications or AI agents.
  • Strong proficiency in React.js, Next.js, TypeScript, Tailwind CSS, Node.js, Express.js/NestJS, PostgreSQL, MongoDB, MySQL, Snowflake. ...
Posted
23 days ago
Posted
5 days ago
  • Engineering: 10+ years professional software engineering. Strong CS fundamentals. Strong TypeScript/JavaScript and Python. Extensive backend engineering. React/Next.js. Production-scale systems, distributed systems, databases, data-intensive applications, production deployment and operations.
  • AI / Agentic Systems: strong hands-on experience with several of — Claude/Anthropic, LLM APIs, agentic workflows, tool-using agents, function calling, multi-agent systems, agent memory, RAG, planning systems, reflection loops, evaluation frameworks, autonomous workflows, AI experimentation, LLM observability, prompt optimization, model routing.
  • We are particularly interested in engineers who have built these systems themselves, not engineers who have only read about them. You should be able to show us production AI systems, agents executing real tasks, complex tool-use workflows, autonomous or semi-autonomous systems, AI evaluation systems, self-improving workflows, and large-scale distributed systems. ...
Posted
19 days ago
Posted
22 days ago

Commerz Global Service Solutions

Posted
9 days ago
Posted
20 hours ago
Posted
5 days ago
Posted
13 days ago
Posted
21 days ago
Posted
5 days ago
Posted
18 days ago
Posted
21 days ago