
Software Engineer – AI, LLM Experience a Plus
Posted Jun 3

Posted Jun 3
This is a fully remote position, open to applicants in Singapore.
• Participate in backend and/or full-stack feature development, testing, and deployment for core products/platforms, delivering production-ready code.
• Work alongside senior engineers on module design, API/interface specifications, system integration, and deployment (which includes logging, monitoring, and performance enhancement).
• Develop and maintain automated tests and CI/CD-related configurations to enhance development efficiency and code quality.
• Assist in the engineering deployment of AI/LLM capabilities based on business requirements, such as integrating LLM APIs, constructing basic RAG pipelines, and embedding tool/agent functionalities into current systems.
• Aid in the creation and maintenance of datasets and benchmarks for evaluation/regression, monitor online performance, and assist in troubleshooting and resolving issues.
• Generate essential technical documentation and communicate effectively across various teams.
• Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
• Strong foundation in software engineering principles: data structures and algorithms, object-oriented design, common design patterns, and coding best practices.
• Proficient in at least one primary programming language for engineering tasks; Python is mandatory. Experience with Java/Go/TypeScript/JavaScript is beneficial.
• Familiar with standard engineering tools and workflows: Git, basic Linux, debugging abilities; understanding of unit/integration testing, RESTful APIs, and databases (SQL/NoSQL).
• Some experience in AI/LLM projects or internships is sufficient (no extensive research required), e.g., prompt engineering/function calling, RAG, vector databases, or familiarity with frameworks like LangChain/LangGraph is a plus.
• Demonstrated ownership, effective communication and collaboration skills, and the capacity to learn quickly and deliver results.
• Available to commit for at least 6 months, 5 days per week.
• Competitive salary and company benefits
• Work-from-home arrangement (the specifics may vary depending on the nature of the business team's work)
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