AI Solutions Engineer – Agentic Systems

Applied AI Solutions Engineer – Agentic Systems

Location: 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.