jobs in SENG HENG ENGINEERING (PRIVATE) LIMITED

全职 AI ENGINEER 工作, 薪水 up to SGD 5,000, SENG HENG ENGINEERING (PRIVATE) LIMITED West Region (Singapore) 公司招聘中 - Ricebowl

AI ENGINEER

SENG HENG ENGINEERING (PRIVATE) LIMITED

West Region (Singapore)

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工作地点

  • 29 JOO KOON CIRCLE West Region (Singapore) Singapore

职位描述

岗位职责

Key Responsibilities

  • Build & Deploy AI Applications: Design, test, and deploy end-to-end LLM-powered applications and Agentic workflows to automate operational processes and elevate manufacturing quality.
  • Production Deployment: Containerize and deploy AI models and software applications into production environments on Microsoft Azure, ensuring high availability and scalability.
  • System Integration: Connect AI tools and agent workflows with core manufacturing and enterprise systems (e.g., ERP, MES, internal databases, or IoT endpoints).
  • Drive Digitalization: Collaborate cross-functionally with operations, quality control, and engineering teams to identify pain points and build practical, data-driven automation tools.
  • Innovation & R&D: Continuously research and prototype emerging GenAI techniques, multi-agent frameworks, and Industry 4.0 solutions to improve operational efficiency.

Requirements

  • Experience Level: Fresh graduates and early-career candidates (up to 2 years of relevant experience) with a strong foundation in software or AI project work.
  • Core Technical Skills:

- Proficiency in Python and fundamental AI/ML concepts.

- Practical exposure to Generative AI and LLM frameworks (e.g., LangChain, LlamaIndex,

Open AI APIs, or similar).

- Basic familiarity with cloud services (Microsoft Azure preferred).

- Knowledge of software development basics (REST APIs, Git, basic database design).

  • Soft Skills: - Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.

- High self-motivation, ownership mindset, and an eagerness to learn complex systems
end-to-end

Preferred (Nice to Have)

  • Prior exposure to multi-agent architectures (e.g., AutoGen, CrewAI, LangGraph).
  • Basic understanding of Docker, CI/CD pipelines, or MLOps/LLMOps on Azure.
  • Hands-on experience with modern frontend or backend frameworks (e.g., FastApi, Flask, Streamlit, React).

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