AI Application Engineer

Prudential is seeking a skilled and passionate AI Application Engineer to join its global team. The ideal candidate will have a strong background in Python backend development, fluency in Mandarin and English, and experience with multi-agent systems, LLMs, and RAG. Knowledge of GCP Vertex AI and AgentOps is a plus.

About the Role:

As an AI Application Engineer, you will play a crucial role in building a cutting-edge AI platform based on multi-agent system architecture, pushing the boundaries of what's possible with AI.

Job Responsibilities:

• Design, develop, and maintain the backend infrastructure for the AI platform, focusing on multi-agent system architecture.
• Develop and optimize prompts for large language models (LLMs) and other AI models.
• Implement and manage LLMOps/AgentOps pipelines for model training, deployment, and monitoring.
• Implement and manage relational (RDB) and NoSQL databases as needed for AI systems.
• Integrate AI models and services with other platform components and applications.
• Troubleshoot and resolve AI backend issues, ensuring performance, scalability, and reliability.
• Collaborate with Data Engineers, Data Scientists, and other stakeholders to define and deliver AI-powered solutions.
• Partner with cross-functional teams globally, communicating platform updates effectively.

Job Qualification:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Possess 5 years or above AI/ML engineering experiences.

Non-Technical Skills & Mindset:

• Impact-Driven & Results Focused: Value-Oriented, focused on delivering solutions that generate significant business value.
• Growth & Learning Mindset: Cross-Functional Learner, eager to learn and understand cross-functional knowledge beyond core expertise.
• Collaborative & Global Communicator: Team Player, collaborates effectively in global team environments.

Technical Skills:

• Python: Proficient in Python, with experience in AI/ML backend development.
• Agent Technologies: Experience in designing and operating production-grade agentic AI systems with secure retrieval and guardrails.
• Cloud Development: Hands-on experience with GCP, including hybrid environments with on-premises DCs.

Technical Stacks:

• Compute & Hosting: GKE & GCE (RedHat), GCP Vertex AI
• Agentic Framework: ADK, n8n, Copilotkit, etc.
• Agentic Protocols: MCP, A2A, AG-UI, A2UI
• Databases: Redis, Firestore, PostgreSQL, Qdrant
• Data Technologies: GCP Cloud Composer (Airflow), BigQuery, Kafka Ecosystem (Confluent Cloud, Debezia, Qlik), Informatica, Power BI
• Monitoring & Observability: Langfuse, LGTM, GCP Monitoring, OTel
• CI/CD: GitHub Actions
• Infrastructure as Code: Terraform
• Security: VPC SC & Policy Tags, CMEK (KEK/DEK), Vault
• Containers: Docker, Kubernetes
• AI Tools for Development: Gemini CLI, Github Copilot

What You Can Expect:

• Global Impact: Work in a cross-country, multi-lingual environment, collaborating with teams across the globe.
• Massive Scale: Contribute to solutions that impact a large volume of customers.
• Strategic Focus: Be at the forefront of a company that strategically focuses on AI and data to drive significant value and impact.
• Cross-Functional Collaboration: Work closely with first-line business users, gaining direct insights into their needs and shaping technology solutions that address real-world challenges.
• Meaningful Technology: Make technology truly impactful, driving innovation and solving critical business problems.