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Open nowPosted 80 days ago

AI Engineer (Generative AI / AI-ML / Microsoft Copilot)

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowAI Engineer (Generative AI / AI-ML / Microsoft Copilot)Workable (global search) · Singapore
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 80 days ago

Workable (global search) median: 7 days open

The posting

Job Summary

We are looking for an experienced AI Engineer with strong expertise in Generative AI, AI/ML, or Microsoft Copilot/Agentic AI development. Candidates should have hands-on experience building AI-powered applications, integrating LLMs, and delivering enterprise AI solutions. Professionals with expertise in any one of these core areas are encouraged to apply.

Key Responsibilities

  • Design, develop, and deploy AI-powered applications using modern AI frameworks.
  • Build and integrate Generative AI solutions using Large Language Models (LLMs).
  • Develop AI agents, copilots, chatbots, and workflow automation solutions.
  • Fine-tune, prompt engineer, and optimize LLM-based applications.
  • Build scalable AI/ML models and deploy them in production environments.
  • Integrate AI services with enterprise applications and cloud platforms.
  • Collaborate with business stakeholders to identify AI use cases and deliver innovative solutions.
  • Ensure AI solutions follow security, governance, and responsible AI practices.

Required Skills

Candidates should possess strong expertise in one or more of the following:

Option 1 – Generative AI

  • Hands-on experience with OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama.
  • Prompt Engineering and RAG (Retrieval-Augmented Generation).
  • LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
  • Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search).
  • AI Agent development and orchestration.

Option 2 – AI / Machine Learning

  • Strong Python programming skills.
  • Machine Learning and Deep Learning.
  • TensorFlow, PyTorch, Scikit-learn.
  • NLP, Computer Vision, Predictive Analytics, or Recommendation Systems.
  • Model training, evaluation, deployment, and MLOps.

Option 3 – Microsoft Copilot / Agentic AI

  • Microsoft Copilot Studio.
  • Copilot Agents development.
  • Microsoft Power Platform.
  • Microsoft Graph API.
  • Azure AI Services.
  • Power Automate.
  • Microsoft 365 Copilot extensibility.
  • Agentic AI solutions and workflow automation.
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