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Open nowPosted 29 days ago

AI Engineer

MyCareersFuture94,028 open roles

Pay
SGD 5,500 – SGD 7,000 a month
Where
Central, Singapore
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Your applicationOpen nowAI EngineerMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.6%30 days
This job: posted 29 days ago

The posting

We are seeking a highly motivated AI Engineer to design, develop, and deploy AI-powered solutions that solve complex business problems. The ideal candidate possesses strong software engineering fundamentals, hands-on experience with machine learning and Generative AI technologies, and the ability to translate business requirements into scalable AI applications.

This role involves working closely with cross-functional teams to build intelligent systems, optimize AI models, integrate AI capabilities into existing products, and drive innovation through emerging technologies.

Key Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
  • Build and maintain machine learning pipelines, data processing workflows, and model deployment frameworks.
  • Develop AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering techniques.
  • Fine-tune, evaluate, and optimize AI models for accuracy, performance, scalability, and cost efficiency.
  • Collaborate with software engineers, data engineers, product managers, and business stakeholders to deliver AI solutions.
  • Integrate AI services with cloud platforms and enterprise systems using APIs and microservices architecture.
  • Monitor AI model performance, troubleshoot production issues, and implement continuous improvements.
  • Ensure AI solutions comply with security, governance, privacy, and responsible AI standards.
  • Stay updated on emerging AI technologies and recommend innovative solutions to improve business outcomes.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or related disciplines.
  • 3-8 years of experience in software engineering, machine learning, data science, or AI development.
  • Strong programming skills in Python and familiarity with Java, JavaScript, or C#.
  • Hands-on experience with AI/ML frameworks such as:
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • LangChain / LlamaIndex
  • Experience with Generative AI and LLM technologies including:
  • OpenAI
  • Azure OpenAI
  • Claude
  • Gemini
  • Open-source LLMs (Llama, Mistral, etc.)
  • Knowledge of prompt engineering, RAG architecture, vector databases, and AI agent frameworks.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Familiarity with containerization and deployment tools such as Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of software engineering best practices, APIs, microservices, and system design
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    The review screen in CV Rocket: how each CV was read, round by round.

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