AI ENGINEER

SENG HENG ENGINEERING (PRIVATE) LIMITED; Singapore; On-site; SGD 40,000 - 70,000; Full time

Job summary

SENG HENG ENGINEERING (PRIVATE) LIMITED is seeking fresh graduates for an AI engineer role to build end-to-end AI applications, deploy on Azure, and integrate AI workflows with ERP, MES, and IoT endpoints.

You will collaborate with operations and engineering teams, prototype GenAI techniques, and explore multi-agent architectures, with hands-on coding in Python and modern frameworks.

Qualifications

• Fresh graduates or early-career candidates (0–2 years) with solid software or AI project experience.

Responsibilities

• Build and deploy end-to-end AI applications and agentic workflows.
• Deploy AI models and software in production on Azure.
• Integrate AI tools with ERP, MES, databases, or IoT endpoints.
• Collaborate with operations and engineering to identify automation opportunities.
• Prototype GenAI techniques and multi-agent solutions to boost efficiency.

Skills

Python

Generative AI

LLM frameworks

REST APIs

Git

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

OpenAI APIs

Azure Cloud

Docker

FastAPI

Job description

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).