Principal AI Engineer, AI Agent Development
Design, develop, deploy, and manage autonomous AI agents for customer assistance, trading, risk detection, and fraud prevention. Architect multi-agent systems, run experiments and simulations, optimize continuous-learning pipelines, define agent KPIs, guide AI research strategy, mentor AI scientists and engineers, and ensure scalable, secure, compliant AI solutions.
Responsibilities
- Lead the design, development, and lifecycle management of autonomous AI agents for crypto exchange operations
- Architect multi-agent systems and frameworks for goal-directed reasoning, planning, and reinforcement-learning-based agents
- Collaborate with product, engineering, business, and operations teams to define agent roles and measurable KPIs
- Drive experimentation, simulations, and continuous-learning pipelines to optimize agent performance
- Apply AGI, LLM-integrated agent, and cognitive-architecture innovations to production systems
- Mentor and lead AI scientists and engineers
- Define the AI roadmap and research strategy
- Ensure the scalability, security, and regulatory compliance of AI-powered solutions
Requirements
- PhD or Master's degree in Computer Science, AI, Machine Learning, Robotics, or a related field
- At least 10 years of industry experience
- Proven experience building and deploying autonomous AI agents in live environments
- Experience designing multi-agent frameworks or agent ecosystems
- Experience with goal-oriented agents, context engineering, memory management, tool use, and reinforcement-learning-based decision making
- Experience developing agents for real-time decision-making
- Track record of delivering end-to-end AI systems in fast-paced, high-scale environments
- Current right to work in Singapore without requiring visa sponsorship
Benefits
- Learning and development programs
- Education subsidy
- Team-building programs and company events
- Wellness allowance
- Meal allowance
- Comprehensive healthcare schemes for employees and dependants