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On-site
Experience
Some experience
About the role
This role sits within the People Technology team and focuses on building AI-driven tools that reshape how the People Organization works. You will combine software engineering, AI development, and HR domain knowledge to create intelligent applications, automations, and agents that improve employee experiences and operational efficiency. It suits a hands-on builder who has delivered enterprise AI solutions and is comfortable working within governance, security, and compliance standards.
What you'll do
Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions
Use AI-assisted development tools to speed up software development, solution design, and deployment
Support subject matter experts in turning business needs into designs and prototypes
Build reusable frameworks, services, and components that enable scalable AI adoption across the People Organization
Design and build AI agents that make business-context-aware decisions, take actions across enterprise systems, and operate autonomously within guardrails
Develop multi-agent systems that coordinate work across functions and platforms
Implement agent orchestration, memory, tool integration, and workflow management
Build AI solutions that integrate and collaborate across multiple enterprise platforms
Develop integrations using APIs, event-driven architectures, and enterprise services
Enable seamless interactions between agents, data sources, and systems to automate end-to-end business processes
Create solutions that leverage enterprise knowledge, workflows, and operational data securely and responsibly
Partner with leaders, process owners, and technology teams to identify AI transformation opportunities
Apply HR domain knowledge to improve recruiting, onboarding, learning, employee services, talent management, workforce planning, and people analytics
Drive innovation by rapidly prototyping, testing, and scaling AI solutions that create measurable business value
Ensure solutions comply with enterprise standards for security, privacy, compliance, and responsible AI
Implement monitoring, observability, testing, and evaluation frameworks for AI systems
Support the development of AI governance standards, best practices, and development guidelines
Good to know
Location: Fab 10W, Singapore
Full time
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline
Hands-on experience delivering production software applications using Python-based backend technologies and modern software engineering practices
Experience designing, developing, and deploying enterprise-grade Generative AI or Large Language Model (LLM) solutions
Experience owning the end-to-end software development lifecycle, including solution architecture, development, testing, deployment, and production support
Experience building cloud-native applications in distributed and microservices-based environments
Experience developing AI-powered applications focused on workflow automation, conversational search, document intelligence, or knowledge retrieval
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