Senior AI Engineer / AI Solutions Engineer (LLMs | RAG)

Gemini Personnel Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Gemini Personnel Limited is seeking an AI Solutions Engineer to design, build, and deploy production-grade AI solutions that drive decision-making across the organization. You will design and develop Agentic AI, LLM, and RAG-based applications, build scalable APIs and data pipelines, and create executive dashboards to enable data-driven decisions.

The role requires hands-on experience with LLMs, Agentic AI, RAG, vector databases, AI orchestration frameworks, and cloud platforms (AWS/Azure/GCP)

Qualifications

• 8+ years in software or AI engineering roles.
• Hands-on with LLMs, Agentic AI, RAG, and vector databases.
• Experience with AWS/Azure/GCP and CI/CD.

Responsibilities

• Design and develop Agentic AI, LLM, and RAG-based applications
• Build scalable APIs, backend services, and data pipelines
• Develop executive dashboards and data-driven decision tools
• Implement MLOps/LLMOps for deployment, monitoring, and governance
• Leverage AWS, Azure, or GCP to deliver secure and scalable AI solutions

Skills

LLMs

Agentic AI

RAG

Vector databases

AI orchestration

Cloud platforms

CI/CD

Production-grade AI

Tools

AWS

Azure

GCP

Job description

We are looking for AI Solutions Engineer to design, build, & deploy production-grade AI solutions that drive decision-making across the organization.

Key Responsibilities

• Design and develop Agentic AI, LLM, and RAG-based applications
• Build scalable APIs, backend services, and data pipelines
• Develop executive dashboards and data-driven decision tools
• Implement MLOps/LLMOps practices for deployment, monitoring, and governance
• Leverage AWS, Azure, or GCP to deliver secure and scalable AI solutions

Requirements

• 8+ years in Software Engineering, AI Engineering, Data Engineering, or related fields
• Hands-on experience with LLMs, Agentic AI, RAG, Vector Databases, and AI orchestration frameworks
• Experience with cloud platforms (AWS/Azure/GCP) and CI/CD best practices
• Proven track record of delivering production-grade AI solutions

Nice to Have

• Experience supporting executive decision-making tools
• Background in financial services, research, maritime, logistics, or other mission-critical environments