1 Chatbot 数据科学家（ LLM ）
有 LLM 大模型经验，有 chatbot 产品经验
base 新加坡，有 EP
2 AI Engineer （ AI agent ）
base 北京或杭州
Key Responsibilities
AI & Agent System Architecture
Design and deploy end-to-end AI agent frameworks across MetaComp’s product and operational stack.
Build systems including autonomous agents, retrievers, action-based agents, RAG, orchestration, and API integrations.
Architect scalable pipelines for:
real-time payment validation
compliance checks (AML/KYC/KYB)
client workflow automation
operational intelligence
customer service and onboarding
Development & Technical Execution
Evaluate and integrate LLMs, vector databases, and retrieval systems.
Build internal tooling, microservices and interfaces that integrate with business infrastructure.
Design agentic workflows to reduce manual work and enhance decision-making.
Evaluate model performance, hallucination safeguards, and accuracy frameworks.
Qualifications
Must-Have
2-3+ years experience in AI, ML Engineering, LLM engineering, or AI system design.
Proven experience designing agent-based architectures (LangChain, CrewAI, LlamaIndex, OpenAI model ecosystem etc.).
Hands-on engineering experience in Python, microservices and API integration.
Strong knowledge of prompt engineering, retrieval systems, grounding and data pipelines.
有意向或者对新加坡别的职位感兴趣 可以联系 wx：sophia_liu611
有 LLM 大模型经验，有 chatbot 产品经验
base 新加坡，有 EP
2 AI Engineer （ AI agent ）
base 北京或杭州
Key Responsibilities
AI & Agent System Architecture
Design and deploy end-to-end AI agent frameworks across MetaComp’s product and operational stack.
Build systems including autonomous agents, retrievers, action-based agents, RAG, orchestration, and API integrations.
Architect scalable pipelines for:
real-time payment validation
compliance checks (AML/KYC/KYB)
client workflow automation
operational intelligence
customer service and onboarding
Development & Technical Execution
Evaluate and integrate LLMs, vector databases, and retrieval systems.
Build internal tooling, microservices and interfaces that integrate with business infrastructure.
Design agentic workflows to reduce manual work and enhance decision-making.
Evaluate model performance, hallucination safeguards, and accuracy frameworks.
Qualifications
Must-Have
2-3+ years experience in AI, ML Engineering, LLM engineering, or AI system design.
Proven experience designing agent-based architectures (LangChain, CrewAI, LlamaIndex, OpenAI model ecosystem etc.).
Hands-on engineering experience in Python, microservices and API integration.
Strong knowledge of prompt engineering, retrieval systems, grounding and data pipelines.
有意向或者对新加坡别的职位感兴趣 可以联系 wx：sophia_liu611
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