AI Solutions Engineer – Agentic Systems

Applied AI Solutions Engineer – Agentic SystemsLocation: Singapore (Hybrid)• Design, build, and deploy enterprise-grade LLM-powered agentic workflows that reason, plan, and act across tools, APIs, vector databases, orchestration frameworks, and secure enterprise data sources.• Translate ambiguous business problems into clear technical specifications, success criteria, and evaluation methodologies for accuracy, safety, latency, reliability, and performance.• Develop production-grade Python applications with clean, testable, observable, and scalable code, including robust RAG pipelines and multi-step agent patterns.• Own use cases end-to-end, from discovery and scoping through solution design, implementation, integration, deployment, and production optimisation.• Collaborate directly with enterprise stakeholders, lead technical discussions, and align business needs with practical AI system architecture.• Contribute reusable frameworks, engineering patterns, and delivery standards that improve consistency and quality across teams.• Work flexibly across backend, AI, integration, and frontend areas when needed to deliver effective customer solutions.• Thrive in fast-paced, ambiguous environments while driving clarity, alignment, and engineering excellence.Qualifications• Strong hands-on experience in Python software engineering, including building scalable, testable, observable, and production-ready applications.• Practical experience developing and deploying RAG systems, LLM-powered agents, and multi-step workflows using agentic patterns such as ReAct or Plan-and-Execute.• Deep understanding of frontier LLMs, vector databases, orchestration frameworks, APIs, and secure enterprise data integration.• Proven ability to define evaluation frameworks for agent accuracy, safety, latency, reliability, and business impact.• Experience working directly with enterprise customers and translating ambiguous requirements into clear technical specifications.• Ability to own use cases end-to-end across discovery, architecture, implementation, deployment, and optimisation.Additional Requirements• Comfortable operating in fast-paced, ambiguous environments with shifting priorities.• Strong stakeholder communication skills, with the ability to lead technical conversations and build alignment.• Willingness to work across backend, AI, integration, and frontend areas when required to deliver customer outcomes.• Commitment to engineering quality, reusable patterns, documentation, and continuous improvement.