Senior AI Engineer Lead — Enterprise LLM & RAG Architect

ConnectedGroup

Hong Kong

Hybrid

HKD 900,000 - 1,300,000

Full time

4 hours ago
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Job summary

ConnectedGroup is seeking a Senior AI Engineer Leader in Hong Kong to design and deliver production-grade AI solutions for our banking clients. You will architect AI agent platforms, implement RAG/GraphRAG, knowledge graphs, and secure microservices, while collaborating with business stakeholders and architects.

The role emphasizes hands-on development in Python and Java/TypeScript, with cloud and DevOps practices, CI/CD, and containerization. Hybrid work is available in a banking setting.

Qualifications

  • Bachelor's degree or higher in CS/Software/AI/Data Science or equivalent
  • 5+ years in software or AI engineering shipping scalable enterprise backend services or automation platforms
  • Proficiency in Python and at least one enterprise language (Java/TypeScript/JavaScript/Go)
  • Hands-on experience building LLM applications, prompt orchestration, function calling, memory, and evaluation frameworks

Responsibilities

  • Design and build production-grade AI solutions and agentic workflows
  • Develop AI knowledge augmentation using RAG, GraphRAG, embeddings, and Knowledge Graphs
  • Create secure, scalable backend services and APIs using Python/TS/Java
  • Integrate AI tooling (Cursor, Claude Code, Copilot) for testing and solution generation
  • Ensure governance, logging, telemetry, access control and production safety
  • Implement CI/CD, containerization (Docker/Kubernetes) and cloud deployment

Skills

Python
Java
TypeScript/JavaScript
Go
LLM & AI engineering

Education

Bachelor's degree or above in Computer Science/Software Engineering/AI/Data Science

Tools

Docker
Kubernetes
LangChain
LangGraph
CI/CD

Job description

ConnectedGroup is seeking a Senior AI Engineer Leader in Hong Kong to design and deliver production-grade AI solutions for our banking clients. You will architect AI agent platforms, implement RAG/GraphRAG, knowledge graphs, and secure microservices, while collaborating with business stakeholders and architects.

The role emphasizes hands-on development in Python and Java/TypeScript, with cloud and DevOps practices, CI/CD, and containerization. Hybrid work is available in a banking setting.

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