AI Solutions Engineer, Office of the Group CEO

PeopleSearch Limited; Hong Kong; On-site; HKD 54,000 - 90,000; Full time

Job summary

PeopleSearch Limited seeks an experienced AI Solutions Engineer to drive AI adoption across the Group, delivering practical AI tools and data-driven applications for executive decision-making. You will design, deploy, and maintain production-grade solutions, collaborating with senior leadership to transform complex business challenges into scalable technology.

The role emphasizes hands-on development, data engineering, and modern software practices, with a focus on operational efficiency and

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline.
• 6+ years of experience in Software Engineering, AI Engineering, Platform Engineering, or Data Engineering.
• Hands-on experience deploying AI and LLM solutions in production environments.
• Strong knowledge of Agentic AI, RAG, vector databases, prompt orchestration, and modern AI frameworks.
• Strong Python development skills with experience building APIs, automation tools, and data pipelines.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Practical experience in MLOps, LLMOps, CI/CD, testing, and infrastructure automation.
• Strong understanding of software architecture, scalability, security, and system reliability.
• Ability to communicate technical concepts effectively to senior executives and non-technical stakeholders.

Responsibilities

• Design and develop AI-powered applications, autonomous agents, and workflow automation solutions.
• Build data extraction, aggregation, and analytics tools from internal and external data sources.
• Implement LLM-based solutions, including RAG architectures, vector databases, and agent frameworks.
• Create executive dashboards and decision-support tools that provide timely and actionable insights.
• Design, build, and maintain scalable backend services, APIs, and data pipelines.
• Develop production-grade applications using Python and modern cloud technologies.
• Apply analytics, forecasting, and machine learning techniques to enhance business decision-making.
• Ensure software quality through testing, documentation, version control, and CI/CD best practices.
• Build and manage MLOps / LLMOps pipelines for model deployment, monitoring, and maintenance.
• Implement secure-by-design principles, including access controls, data protection, and compliance requirements.

Skills

Python development

AI Engineering

Platform Engineering

Data pipelines

MLOps

LLMOps

RAG architectures

Education

Bachelor's degree in Computer Science / Engineering / Data Science

Tools

AWS

Azure

Google Cloud

Job description

AI Solutions Engineer, Group level_Up to 90K

We are seeking an experienced AI Solutions Engineer to join the Office of the Group CEO and drive the adoption of AI across the Group. This is a highly visible, hands-on position focused on designing and delivering practical AI-powered tools, intelligent workflows, and data-driven applications that enhance executive decision-making and operational efficiency. You will work directly with senior leadership to transform complex business challenges into scalable technology solutions, leveraging AI, data engineering, and modern software development practices. This is not a research-focused role. Success will be measured by your ability to build, deploy, and maintain production-grade solutions that deliver measurable business value.

Key responsibilities

• Design and develop AI-powered applications, autonomous agents, and workflow automation solutions
• Build data extraction, aggregation, and analytics tools from internal and external data sources
• Implement LLM-based solutions, including RAG architectures, vector databases, and agent frameworks
• Create executive dashboards and decision-support tools that provide timely and actionable insights
• Design, build, and maintain scalable backend services, APIs, and data pipelines
• Develop production-grade applications using Python and modern cloud technologies
• Apply analytics, forecasting, and machine learning techniques to enhance business decision-making
• Ensure software quality through testing, documentation, version control, and CI/CD best practices
• Build and manage MLOps / LLMOps pipelines for model deployment, monitoring, and maintenance
• Implement secure-by-design principles, including access controls, data protection, and compliance requirements

About you

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline
• 6+ years of experience in Software Engineering, AI Engineering, Platform Engineering, or Data Engineering
• Hands-on experience deploying AI and LLM solutions in production environments
• Strong knowledge of Agentic AI, RAG, vector databases, prompt orchestration, and modern AI frameworks
• Strong Python development skills with experience building APIs, automation tools, and data pipelines
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Practical experience in MLOps, LLMOps, CI/CD, testing, and infrastructure automation
• Strong understanding of software architecture, scalability, security, and system reliability
• Ability to communicate technical concepts effectively to senior executives and non-technical stakeholders