About this role
Design and build the company-wide AI knowledge infrastructure and scalable LLM application architectures, including RAG pipelines and vector database integration. Own the end-to-end technical delivery of internal AI tools while collaborating with stakeholders to translate business needs into technical roadmaps.
Requires 4-7 years of backend engineering experience with at least 2 years of hands-on LLM application development. Proficiency in Python and experience with vector databases and production-level RAG architecture are essential, along with fluency in Mandarin and English.
What they're looking for
PythonLLM Application DevelopmentRAG ArchitectureVector DatabasesBackend EngineeringSystem DesignAPI ArchitecturePrompt Engineering
Frequently asked questions
What does a Senior AI Engineer at Patsnap do?
Design and build the company-wide AI knowledge infrastructure and scalable LLM application architectures, including RAG pipelines and vector database integration. Own the end-to-end technical delivery of internal AI tools while collaborating with stakeholders to translate business needs into technic…
What skills does this Senior AI Engineer role need?
Key skills for this role include Python, LLM Application Development, RAG Architecture, Vector Databases, Backend Engineering, System Design.
How much does a Senior AI Engineer at Patsnap pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior AI Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior AI Engineer role?
You can apply directly on Patsnap's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.