Ai Application Engineer

Prudential Com Sg

Hybrid
Python backend development
Multi-agent systems
Llms and rag
Design, develop, and maintain the backend infrastructure for our AI platform, focusing on multi-agent system architecture

Job Summary

  • Design, develop, and maintain the backend infrastructure for our AI platform, focusing on multi-agent system architecture.
  • Implement and manage LLMOps/AgentOps pipelines for model training, deployment, and monitoring.
  • Collaborate with Data Engineers, Data Scientists, and other stakeholders to define and deliver AI-powered solutions.

Matching Summary

Design, develop, and maintain the backend infrastructure for our AI platform, focusing on multi-agent system architecture.

Skills & Requirements

Must-have

  • Python backend development
  • Multi-agent systems
  • LLMs and RAG
  • GCP Vertex AI
  • AgentOps pipelines
  • Relational and NoSQL databases

Nice-to-have

  • Impact-Driven & Results Focused
  • Growth & Learning Mindset
  • Best Practice Pragmatist
  • Collaborative & Global Communicator
  • Pro-activeness through open-source contributions

Key Requirements

  • 5 years or above AI/ML engineering experiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields
  • Fluent in English and Chinese (Mandarin)

Work Rights

Not specified

Tailored Resume

Cover Letter