Forward Deployed Engineer (AI)

Nicoll Curtin; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nicoll Curtin in Singapore seeks a senior software engineer to 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 specs and evaluation methodologies for accuracy, safety, latency, reliability, and performance.

Qualifications

• Strong hands-on Python software engineering for production-ready apps.
• Experience developing and deploying RAG systems and LLM-powered agents.
• Deep understanding of vector databases, orchestration frameworks, APIs, and secure enterprise data integration.
• Ability to translate ambiguous requirements into concrete technical specifications.

Responsibilities

• Own use cases end-to-end from discovery through production deployment and optimisation.
• Collaborate with enterprise stakeholders to align business needs with AI system architecture.
• Develop reusable frameworks and patterns to improve consistency and quality across teams.

Skills

Python engineering

RAG systems

LLM-powered agents

vector databases

APIs

secure enterprise data integration

Job description

• 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.
• 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.