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Open nowPosted 9 days ago

AI Engineer

MyCareersFuture94,028 open roles

Pay
SGD 2,500 – SGD 4,000 a month
Where
North, Singapore
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Your applicationOpen nowAI EngineerMyCareersFuture · North, 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.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.7% 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. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 9 days ago

The posting

We are looking for an AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The role involves building LLM-based features, integrating AI models into production systems, and collaborating with software, data, and product teams to deliver scalable AI products.

Key Responsibilities

  • Design, develop, and deploy AI/ML applications for production environments.
  • Build and integrate Large Language Model (LLM) solutions using APIs and open-source models.
  • Develop RAG (Retrieval-Augmented Generation) pipelines with vector databases.
  • Create and optimize prompts, AI agents, and workflow automation.
  • Fine-tune and evaluate machine learning and generative AI models.
  • Build scalable REST APIs and integrate AI services with existing applications.
  • Monitor model performance, improve accuracy, and optimize inference costs.
  • Collaborate with cross-functional teams to translate business requirements into AI solutions.

Requirements

  • Bachelor's degree in Computer Science, AI, Data Science, or a related field.
  • 3+ years of experience in AI, Machine Learning, or Generative AI development.
  • Strong proficiency in Python.
  • Experience with LLM frameworks (LangChain, LlamaIndex, or similar).
  • Hands-on experience with OpenAI, Azure OpenAI, Claude, or open-source LLMs.
  • Knowledge of RAG, embeddings, and vector databases (Pinecone, Milvus, FAISS, ChromaDB).
  • Experience with PyTorch or TensorFlow.
  • Familiarity with Docker, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).
  • Good understanding of API development and system integration.

Preferred Skills

  • Experience with AI agents and multi-agent architectures.
  • Knowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow).
  • Experience deploying models on Kubernetes or cloud-native environments.
  • Understanding of NLP, computer vision, or speech AI is an advantage.
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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

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  4. Every reply, sorted

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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