Agentic AI Engineer

Company description:

Singapore Technologies Engineering Ltd

Job description:

ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Join our Cyber Team

We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructure, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.

This role is ideal for a hands-on AI professional with both technical expertise and domain sensitivity—capable of shaping intelligent, adaptive agents that perform reliably in complex, real-world environments.

Responsibilities

• Train and configure agentic AI systems to operate effectively within specialized domains, ensuring alignment with domain-specific goals, constraints, and terminology.
• Customize agent workflows, toolchains, and decision logic to reflect domain context, operational requirements, and user expectations.
• Adapt reasoning, planning, and state management components for accuracy and relevance in industry-specific applications.
• Collaborate with domain experts to capture knowledge, define task flows, and validate agent behavior in representative environments.
• Fine-tune models and configure tool integrations to support effective interaction, tool use, and decision-making in real-world scenarios.
• Monitor agent performance, identify misalignments with domain expectations, and iteratively improve workflows and configurations.
• Support evaluation, simulation, and continuous learning pipelines to refine agent behavior based on feedback and performance data.
• Document domain-specific configurations, training protocols, and best practices for scalable deployment across similar use cases.

Requirements

Experience

• 5+ years in AI system training, workflow configuration, or intelligent system customization, with a focus on domain adaptation.
• Experience working with AI/ML tools in applied settings such as healthcare, finance, logistics, manufacturing, or defense.

Technical Skills

• Strong proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with agentic AI workflows, including planning, tool use, and multi-step task execution.
• Hands-on experience configuring AI tools, models, and pipelines for use in constrained or specialized environments.
• Ability to interpret domain-specific requirements and translate them into actionable agent behaviors.

Preferred Knowledge

• Exposure to multi-agent systems, LLM orchestration frameworks (e.g., LangChain, Autogen), or intelligent automation platforms.
• Experience working with structured knowledge bases, ontologies, or knowledge graph integrations.
• Familiarity with simulation environments or digital twins for domain-specific AI testing and training.

Work location: Jurong East

Find out more:

ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.