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Open nowPosted 9 days ago

Senior AI Engineer

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 14,000 a month
Where
North, Singapore
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Your applicationOpen nowSenior AI EngineerMyCareersFuture · North, Singapore

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  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.

7.7% 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.
  • 5+ 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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