AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
LocationSingapore, Singapore, Singapore
Typefull-time
SenioritySenior
DepartmentManish
Company size1,001–5,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have2
Strong expertise in Generative AI, AI/ML, or Microsoft Copilot/Agentic AI
Hands-on experience building AI-powered applications, integrating LLMs, and delivering enterprise AI solutions
Skills
Generative AI
AI/ML
Microsoft Copilot
Agentic AI
OpenAI GPT
Azure OpenAI
Anthropic Claude
Gemini
Llama
LangChain
LlamaIndex
Semantic Kernel
Pinecone
ChromaDB
Weaviate
FAISS
Azure AI Search
Python
TensorFlow
PyTorch
Scikit-learn
NLP
Computer Vision
Microsoft Copilot Studio
Microsoft Power Platform
Microsoft Graph API
Azure AI Services
Power Automate
Microsoft 365 Copilot
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.