
Backend Engineer, LLM
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants in Singapore.
• Create and sustain comprehensive product features encompassing frontend, backend, and AI/LLM elements.
• Design user interfaces for internal tools, dashboards, AI assistants, automation workflows, and productivity systems.
• Develop backend services, APIs, data pipelines, task workflows, and integrate with both internal and external systems.
• Incorporate LLM/AI capabilities into real-world applications, including intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
• Utilize AI coding tools to enhance development efficiency, code quality, testing, and debugging.
• Collaborate with product, operations, support, engineering, security, and infrastructure teams to comprehend user requirements and provide effective solutions.
• Engage in product iterations based on user feedback, usage metrics, and business impact.
• Produce clean, maintainable code and contribute to documentation, testing, and best engineering practices.
• Bachelor’s degree or higher in Computer Science, Software Engineering, Engineering, or a related discipline.
• Strong programming fundamentals with an aptitude for quickly learning new technologies.
• Practical experience with at least one frontend framework, such as React, Vue, Angular, or similar.
• Practical experience with at least one backend language or framework, such as Python, Go, Java, Node.js, FastAPI, Spring Boot, Express, or similar.
• Basic knowledge of frontend engineering, including component design, state management, API integration, UI debugging, and browser fundamentals.
• Basic knowledge of backend engineering, covering API design, databases, authentication, asynchronous jobs, logging, monitoring, and service reliability.
• Direct experience with LLM/AI applications, such as:
• LLM API integration
• Prompt engineering
• RAG
• AI agents
• Tool/function calling
• Workflow automation
• Text classification / summarization / extraction
• LLM output evaluation
• Comfortable utilizing AI coding tools like Cursor, Claude Code, GitHub Copilot, Cline, OpenCode, or similar tools in everyday development.
• Strong sense of ownership, effective communication skills, and a readiness to tackle ambiguous challenges.
• Capacity to deliver practical solutions while considering both engineering quality and user experience.
• Nice to Have
• Experience in developing AI-powered products, internal tools, dashboards, workflow automation systems, or data-driven applications.
• Familiarity with LLM/Agent/RAG frameworks such as LangChain, LlamaIndex, Dify, AutoGen, CrewAI, OpenAI API, Anthropic API, Hugging Face, or similar.
• Competitive salary and comprehensive company benefits.
• Work-from-home flexibility (the arrangement may vary based on the nature of the business team's work).
• Opportunities for professional growth and ongoing learning.
One Identity
9th Way Insignia
Engineering System and Technologies SARL
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