Artificial Intelligence Engineer (AI Engineer)

UST Global; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

UST Global is seeking an experienced AI Engineer to join our AI Engineering team in Singapore. You will build and deploy AI applications, copilots, agentic workflows, and RAG-powered solutions for leading Investment & Wealth Management organizations.

You will design prompts, integrate LLMs and cloud services, and develop dashboards for monitoring and analytics. The role requires hands-on Python and GenAI experience, with strong knowledge of RAG, vector databases, and enterprise AI architectures.

Qualifications

• 3-5 years of software engineering or AI development experience.

Responsibilities

• Develop AI applications, intelligent agents, and workflow automation solutions.
• Build RAG pipelines, vector database integrations, and knowledge retrieval systems.
• Integrate LLMs, APIs, and cloud-native services.
• Design prompts, agent workflows, and orchestration frameworks.
• Develop dashboards, monitoring, and operational analytics.
• Support customer implementations, testing, and AI solution deployment.

Skills

API Development

Agentic AI

Artificial Intelligence

GenAI

Python

GenAI frameworks

APIs

cloud platforms

RAG

Vector Databases

Agent Orchestration

AI Evaluations

MLOps

data processing

AI architectures

Job description

Role description

Join our AI Engineering team to build and deploy AI applications, copilots, agentic workflows, and RAG-powered solutions for leading Investment & Wealth Management organizations.

What You'll Do

• Develop AI applications, intelligent agents, and workflow automation solutions
• Build RAG pipelines, vector database integrations, and knowledge retrieval systems
• Integrate LLMs, APIs, and cloud-native services
• Design prompts, agent workflows, and orchestration frameworks
• Develop dashboards, monitoring, and operational analytics
• Support customer implementations, testing, and AI solution deployment

What We’re Looking For

• 3-5 years of software engineering or AI development experience
• Proven experience delivering AI/GenAI projects in production environments.
• Strong hands-on experience in Python, GenAI frameworks, APIs, and cloud platforms.
• Experience with RAG, Vector Databases, Agent Orchestration, and AI Evaluations.
• Knowledge of MLOps, data processing, and enterprise AI architectures.
• Exposure to Investment Management, Wealth Management, or Financial Services is highly desirable.
• Understanding of portfolio management, trade lifecycle, or fund accounting is a plus

Skills

API Development, Agentic AI, Artificial Intelligence, GenAI, Python, GenAI frameworks, APIs, cloud platforms, RAG, Vector Databases, Agent Orchestration, AI Evaluations, MLOps, data processing, AI architectures.