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

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

Unison Group

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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