AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Unison Group Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Unison Group. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch AI applications with modern frameworks, including systems that use large language models
- Create agents, copilots, chatbots and automated workflows, then refine and tune their underlying AI
- Put machine-learning models into production and connect AI services to business software and cloud platforms
- Work with business stakeholders to find useful AI applications and deliver them securely and responsibly
What you bring
- You have practical experience building AI applications, connecting LLMs and delivering AI solutions for enterprise use
- You bring depth in at least one area: generative AI, machine learning, or Microsoft Copilot and agent development
- Your relevant skills may include Python and ML frameworks, or LLM tools, retrieval methods and orchestration platforms
Who this fits
This mid-level role is based onsite in Singapore. It suits an AI engineer with hands-on application experience and strength in at least one of the three specified technical areas.
From the employer
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.