全职 AI Software Engineer 工作, 薪水, Webby Group Federal Territory 公司招聘中 - Ricebowl

Responsibilities

• Design, develop, and deploy AI-powered software applications and enterprise solutions.
• Build and optimize AI Agents, Copilots, and Agentic AI workflows using modern LLM technologies.
• Develop Retrieval-Augmented Generation (RAG) systems integrated with enterprise knowledge bases.
• Integrate Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Gemini, DeepSeek, Qwen, and other foundation models into business applications.
• Design scalable backend services and APIs to support AI applications.
• Integrate AI solutions with third-party systems including ERP, CRM, HRMS, databases, and cloud services.
• Build and maintain prompt engineering strategies, evaluation pipelines, and model optimization workflows.
• Collaborate with Product Managers, UI/UX Designers, and Software Engineers to deliver high-quality AI products.
• Optimize AI application performance, scalability, security, and operational costs.
• Research, evaluate, and adopt emerging AI technologies, frameworks, and best practices.
• Write clean, maintainable, and well-documented code following software engineering best practices.
• Participate in code reviews, architecture discussions, and technical planning.

Job Requirements

Must Have

• Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• > 5 years of software development experience .
• Strong programming skills in Python, Node.js (TypeScript), or both.
• Experience building applications using REST APIs and modern backend frameworks.
• Hands-on experience with one or more LLM providers
• Experience with Prompt Engineering and LLM application development.
• Familiarity with Git and collaborative software development practices.
• Strong analytical, debugging, and problem-solving skills.
• Good communication skills and ability to work in an Agile environment.

Preferred Skills

• Experience with AI orchestration frameworks
• Experience building multi-agent AI systems.
• Experience implementing RAG architectures.
• Familiarity with vector databases.
• Experience with SQL and NoSQL databases.
• Experience deploying applications using Docker and Kubernetes.
• Experience with AWS, Azure, Google Cloud, or Tencent Cloud.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with frontend technologies such as React or Next.js is an advantage.