Systems Engineer - AI

EXCTEL ENGINEERING PTE. LTD.

Singapore

On-site

SGD 70,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Training opportunities
Competitive salary & benefits

Job summary

Exctel Engineering, headquartered in Singapore, is seeking an AI Engineer - Digital Engineering to join our team in Singapore. You will contribute to developing AI use cases, preparing data, and building Python data pipelines in a hands-on environment.

You will work on generative AI tools, prompt design, RAG, and integrate AI workflows with industrial systems such as IoT, VMS, and SCADA. Fresh graduates with internships are welcome.

Qualifications

  • 0-3 years of experience in software, data, or AI engineering.
  • Fresh graduates with relevant internships or projects are welcome to apply.
  • Exposure to telecom or industrial systems (radio, networking, PAGA, CCTV, SCADA) is an advantage.

Responsibilities

  • Support the Principal Systems Engineer in developing and piloting AI use cases.
  • Collect, clean, and organise engineering data and project documents.
  • Develop and test Python scripts, data pipelines, and prototypes.
  • Build and test generative AI tools, including prompt design and RAG.
  • Assist integration of AI tools with IoT, VMS, and SCADA workflows.
  • Monitor deployed tools and fix user-reported issues.
  • Prepare user guides and train engineers on new tools.
  • Follow data security, client confidentiality, and responsible AI practices.

Skills

Machine Learning
Computer Vision
Generative AI (LLMs, RAG)
Deep Learning
Data Pipelines
Virtual Machines
Containers
Modbus
OPC UA
Python
SQL
Bash

Education

Degree in Computer Science / Data Science / Electrical/Electronic Engineering

Job description

AI Engineer - Digital Engineering

Location: Singapore

Employment Type: Full-Time

About Exctel Engineering

Headquartered in Singapore, Exctel Engineering is a fast-growing engineering company providing Telecom, Safety, Security, Automation, and Digital Solutions to the global Oil & Gas, Energy, and Industrial sectors. Our engineers and project managers support projects across the full lifecycle, from feasibility through commissioning and maintenance, at onshore, offshore, and marine facilities. With offices in Singapore, Abu Dhabi, Saudi Arabia, India, Nigeria, and the United States, we support major EPC contractors and operators worldwide.

Key Responsibilities
  • Support the Principal Systems Engineer in developing and piloting AI use cases, such as automated document generation, compliance review, and design calculations.
  • Collect, clean, and organise engineering data, including drawings, specifications, equipment lists, and project documents.
  • Develop and test Python scripts, data pipelines, and prototypes, and help move them into everyday use.
  • Build and test generative AI tools, including prompt design, retrieval-augmented generation (RAG), and output evaluation.
  • Support the integration of AI tools with engineering workflows and industrial systems such as IoT, VMS, and SCADA.
  • Monitor and maintain deployed tools, and fix issues reported by users.
  • Prepare user guides and documentation, and help train engineers on new tools.
  • Follow company standards for data security, client confidentiality, and responsible AI use.
Requirements
Education & Experience
  • Degree in Computer Science, Data Science, Electrical/Electronic Engineering, or a related field.
  • 0-3 years of experience in software, data, or AI engineering. Fresh graduates with relevant internships or projects are welcome to apply.
  • Exposure to telecom or industrial systems, such as radio, networking, PAGA, CCTV or SCADA, will be an advantage.
Technical Skills
  • AI: Machine Learning, Computer Vision, Generative AI (LLMs, RAG), and Deep Learning.
  • Data & Platforms: Data Pipelines, Virtual Machines, and Containers.
  • Industrial Communication: Basic knowledge of Modbus, OPC UA, or similar protocols will be an advantage.
  • Programming: Python required - SQL and Bash (Linux) will be an advantage.
Professional Skills
  • Eagerness to learn and keep up with new AI technologies.
  • Good problem-solving skills and attention to detail.
  • Clear written and spoken English, with good documentation habits.
  • A team player who can also work independently.
What We Offer
  • Hands-on experience applying AI to real engineering projects, guided by a Principal Engineer.
  • Training, career growth, competitive salary, and benefits.
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