AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
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AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Location
Singapore, Singapore, Singapore
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
### 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.
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.
Skills Required
Generative AIAI/MLMicrosoft CopilotAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGLangChainLlamaIndexSemantic KernelVector DatabasesAI Agent developmentPythonMachine LearningDeep LearningTensorFlowPyTorchScikit-learnNLPComputer VisionPredictive AnalyticsRecommendation SystemsMLOpsMicrosoft Copilot StudioMicrosoft Power PlatformMicrosoft Graph APIAzure AI ServicesPower AutomateCollaborationProblem solving
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