AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Unison Group
| Company | Unison Group |
| Category | Engineering |
| Location | Singapore |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 7 Aug 2026 |
| Source | Employer ATS (workable) |
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.