Ai Application Engineer

Prudential

Hybrid
Python backend development
Multi-agent system architecture
Llm prompt optimization
The role involves designing and maintaining the backend infrastructure for a cutting-edge AI platform based on multi-agent system architecture

Job Summary

  • The role involves designing and maintaining the backend infrastructure for a cutting-edge AI platform based on multi-agent system architecture.
  • Candidates must possess 5 years or more of AI/ML engineering experience with a strong background in Python and LLM technologies.
  • Prudential offers a global impact opportunity where employees collaborate across countries to deliver solutions impacting millions of customers.

Matching Summary

The role involves designing and maintaining the backend infrastructure for a cutting-edge AI platform based on multi-agent system architecture.

Skills & Requirements

Must-have

  • Python backend development
  • Multi-agent system architecture
  • LLM prompt optimization
  • LLMOps/AgentOps pipelines
  • RDB and NoSQL database management
  • Fluent in Mandarin and English

Nice-to-have

  • GCP Vertex AI experience
  • AgentOps tool knowledge
  • API creation for data consumption
  • Open-source project contributions
  • Cross-functional global collaboration

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 5+ years of AI/ML engineering experience
  • Fluency in both English and Mandarin Chinese

Work Rights

Not specified

Tailored Resume

Cover Letter