Forward Deployed Engineer (AI)
Type: Full-time permanent
Location: Singapore, On-site
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.