AI Engineer

Role Overview Shin Khai Construction Pte Ltd is looking for a highly driven, energetic, and adaptable AI Engineer who is genuinely passionate about Artificial Intelligence (AI) and enjoys exploring emerging technologies. The successful candidate will lead the development and deployment of AI agents across the company and its business operations. These agents will function as our virtual staff, supporting departments and carrying out defined operational and administrative responsibilities. The AI Engineer will act as the manager of this virtual workforce by designing suitable agents, assigning their functions, evaluating their performance, and fine-tuning, rebuilding, or replacing agents that do not meet operational requirements. This is a hands-on and business-facing position. The person must be able to turn new AI capabilities into secure, user-friendly, and maintainable solutions that support the organisation's long-term strategy and deliver measurable value. Key Responsibilities 1 AI Research and Organisational Adoption · Keep abreast of emerging AI models, platforms, agent frameworks, automation tools, and industry trends. · Proactively explore and test new AI capabilities and assess their relevance to the organisation. · Identify opportunities across construction operations, HR, safety, quality, compliance, ESG, procurement, contracts, finance, and administration. · Convert suitable ideas into proofs of concept, obtain stakeholder feedback, and deploy practical business solutions. · Promote responsible AI adoption and digital transformation across the organisation. 2 Development of AI Agents and Virtual Staff · Design, develop, configure, and deploy multiple AI agents to serve as virtual staff for different departments and business functions. · Define every agent's role, responsibilities, knowledge sources, workflows, access permissions, limitations, and escalation procedures. · Equip agents to answer inquiries, retrieve information, prepare documents, monitor records, issue reminders, analyze data, and produce reports. · Integrate agents with approved company systems, documents, databases, communication channels, and third-party applications. · Ensure agents work effectively with human employees and escalate matters requiring human judgment, verification, or approval. 3 AI Workforce Management · Maintain an inventory of deployed AI agents, including their purpose, assigned department, system access, and responsible human owner. · Establish measurable performance standards for accuracy, reliability, response quality, usability, speed, security, and cost-effectiveness. · Review agent outputs, user complaints, errors, and feedback and implement timely improvements. · Fine-tune, retrain, reconfigure, or redesign agents that do not meet the required standards. · Retire and replace ineffective agents and develop new agents where improvement is not technically or commercially practical. · Ensure each agent continues to provide measurable operational value over its lifecycle. 4 Long-Term and Strategic Agent Development · Develop agents as reliable, scalable, and maintainable long-term business solutions, not only short-term demonstrations. · Design agents around the company's long-term strategy, business growth, and changing operational requirements. · Train and configure agents using approved company knowledge, procedures, workflows, and operational requirements. · Ensure agents can be updated when policies, regulations, responsibilities, or business processes change. · Create intuitive and user-friendly experiences for employees with different levels of technical knowledge. · Maintain clear documentation and a continuous improvement plan for every production agent. 5 Internal Company AI Assistant · Develop and maintain a secure internal AI assistant that retrieves information from approved company sources. · Build capabilities covering employee policies, HR procedures, project documents, safety requirements, quality standards, compliance procedures, ESG initiatives, and company SOPs. · Ground responses in authorized documents and provide references to relevant sources where practicable. · Apply access permissions according to the user's role, department, and authority. 6 AI Automation and System Integration · Develop AI-powered workflows that reduce repetitive and manual work. · Connect approved AI applications with databases, cloud storage, spreadsheets, email, the WhatsApp Business Platform, and other company systems. · Build and maintain the required APIs, dashboards, databases, and backend services. · Automate appropriate reminders, approvals, follow-ups, document preparation, data extraction, and management reporting. · Coordinate with internal users, vendors, and technology partners to implement integrations. 7 Testing and Continuous Improvement · Test every AI agent before deployment using actual or representative company scenarios. · Establish evaluation methods for accuracy, relevance, consistency, security, usability, and operational effectiveness. · Monitor agents after deployment and identify errors, hallucinations, outdated information, and workflow failures. · Continuously improve prompts, instructions, knowledge sources, workflows, tools, and underlying models. · Maintain version records so changes can be evaluated, compared, and reversed when necessary. 8 AI Governance, Security, and Data Protection · Ensure all AI solutions comply with company policies, PDPA requirements, confidentiality obligations, and cybersecurity standards. · Implement appropriate access controls, approval limits, activity logs, and data-retention requirements. · Protect employee, worker, customer, tender, contractual, and project information from unauthorized access or disclosure. · Require human review for important employment, disciplinary, financial, contractual, safety, and compliance decisions. · Assess third-party AI platforms before company information is uploaded or processed. 9 Deployment…