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AI Engineer

Fuku · Python · Java · 9 hours ago
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Salary
≈ $65k – $180k per year (Estimated)
Location
In office (Singapore)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 29, 2026. Fuku scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Fuku

Fuku is a recruitment business operating in Singapore and Malaysia that advertises client vacancies under its own name across a wide range of industries. The roles it posts span software engineering, accounting, sales, customer service, logistics, hospitality and administration, offered on permanent, contract and gig terms, which is characteristic of an agency working for many employers rather than hiring for itself. It runs a high-volume careers board with several hundred open positions at a time, and the listings carry the agency as the employer of record rather than the company the candidate would actually join.
fuku.sg · HQ: Singapore · Recruiting & Staffing

What You’ll Do

  • Build, train and deploy AI models and algorithms that solve real business problems
  • Work with product, engineering and business teams to bring AI into live systems and workflows
  • Explore the latest in AI and machine learning, and turn what you learn into better products
  • Tune models for speed, scale and accuracy
  • Dig into large datasets to find insights that guide decisions
  • Document your models, processes and workflows so the whole team can build on them
  • Join code reviews, testing and debugging to keep quality high
  • Help shape and grow our AI engineering team

What You Bring

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning or a related field
  • Around 2 years of experience deploying AI or ML models in a professional setting. Fresh graduates with relevant projects or internships are also welcome to apply
  • Strong Python or Java skills, and experience with TensorFlow, PyTorch or Scikit-learn
  • Familiarity with LLMs, AI agents, multi-model orchestration and application engineering
  • Solid grounding in data structures, algorithms and software engineering
  • Hands-on experience deploying models on AWS, Azure or Google Cloud
  • Comfort working with large datasets and data preprocessing
  • Strong problem-solving skills, whether you work independently or in a team
  • Clear communication, including explaining technical ideas to non-technical colleagues

Why Join Us

  • Work on practical AI problems with real impact
  • Learn and grow in a supportive, inclusive team
  • Room to contribute ideas and shape how the team works
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