ST Engineering is a global technology, defenceand engineering group with offices across Asia, Europe, the Middle East and theU.S., serving customers in more than 100 countries. The Group uses technologyand innovation to solve real-world problems and improve lives through itsdiverse portfolio of businesses across the aerospace, smart city, defence andpublic security segments. Headquartered in Singapore,ST Engineering ranks among the largest companies listed on the SingaporeExchange.
Join our Cyber Team
We are an industry leader in cybersecurity with over two decadesof experience, we deliver a holistic suite of trusted cybersecurity solutionsto empower cyber resilience for government and ministries, criticalinfrastructure, and commercial enterprises. Backed by our indigenouscapabilities and deep domain expertise, we offer robust cyber-secure productsand services in cryptography, cybersecurity engineering, digitalauthentication, SCADA protection, audit and compliance. We specialise in thedesign and build of security operations centres for cybersecurity professionalsand provide managed security services to strengthen the cybersecurity postureof our government and enterprise customers.
Thisrole is ideal for a hands-on AI professional with both technical expertise anddomain sensitivity-capable of shaping intelligent, adaptive agents that performreliably 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
Findout more: https://www.stengg.com/cybersecurity
ST Engineering believes in fostering a culture where team membersare encouraged to overcome challenges, explore new ideas, and work together tosucceed. We value individuals who are determined to push beyond the boundaries,and have a thirst for knowledge, continuous learning, and self-improvement.
