Senior LLM Platform Architect

Patsnap; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Patsnap in Singapore is seeking a Senior AI Engineer to build the knowledge and context infrastructure that links internal information and powers AI-driven workflows across the business.

You will own end-to-end delivery of LLM applications, including RAG pipelines, vector integrations, prompts, API services, monitoring, and deployment, while establishing reusable patterns and standards for scalable AI solutions.

Qualifications

• 4–7 years of backend engineering experience, with at least 2 years of hands-on LLM application development.
• Strong backend development skills in Python; experience with Node.js or Go is a plus.
• Solid computer science fundamentals, including algorithms, system design, database design, API architecture, distributed systems, caching, and performance optimization.
• Production-level LLM application experience, not limited to demos or prototypes. Experience should include prompt engineering at scale, model selection, inference pipeline design, or RAG architecture.
• Hands-on experience with RAG and vector databases such as Pinecone, Weaviate, Chroma, or similar tools.
• Experience owning full engineering delivery, including backend services, basic frontend integration, API deployment, monitoring, and troubleshooting.
• Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, or similar tools.
• Mandarin fluency is required; English working proficiency is required.
• Able to work independently under ambiguous instructions and make sound technical decisions without waiting for detailed specifications.

Responsibilities

• Design and build the company-wide AI knowledge infrastructure, including company wiki, internal knowledge base, retrieval layer, and context management system.
• Develop scalable LLM application architecture, including RAG pipelines, vector database integration, prompt workflows, API services, monitoring, and deployment.
• Own the end-to-end technical delivery of internal AI tools, from backend architecture and basic frontend integration to deployment, testing, and monitoring.
• Work closely with business, brand, PR, IR, and leadership stakeholders to translate ambiguous business needs into practical AI systems and technical roadmaps.
• Optimize system performance, including token efficiency, latency, caching strategy, retrieval quality, data architecture, and model inference flow.
• Evaluate and integrate AI coding tools, LLM frameworks, vector databases, and third-party APIs to improve development efficiency and product quality.
• Mentor junior engineers or interns when needed, and help establish technical standards, documentation practices, and reusable engineering workflows.

Skills

Backend engineering

Python

Node.js

Go

CS fundamentals

Algorithms

System design

API architecture

Distributed systems

Caching

Performance optimization

LLM applications

RAG

Vector databases

Prompt engineering

AI coding tools

Mandarin fluency

English proficiency

Tools

Pinecone

Weaviate

Chroma

Cursor

Claude Code

GitHub Copilot

Job description

Patsnap in Singapore is seeking a Senior AI Engineer to build the knowledge and context infrastructure that links internal information and powers AI-driven workflows across the business.

You will own end-to-end delivery of LLM applications, including RAG pipelines, vector integrations, prompts, API services, monitoring, and deployment, while establishing reusable patterns and standards for scalable AI solutions.