Ambition Recruitment Hiring! Full Time AI Engineer - Ambition in Hong Kong - Ricebowl

Key Responsibilities

• Design, develop, and maintain backend services, APIs, and AI-powered applications using Python
• Build and implement AI agents (e.g., copilots, automation agents, and intelligent assistants) leveraging LLMs and agent frameworks
• Develop Generative AI solutions, including:
  • Chatbots and conversational systems
  • Retrieval-Augmented Generation (RAG) applications
  • Knowledge assistants and document intelligence solutions
• Design and manage agent orchestration, tool integration, and multi-step reasoning workflows
• Integrate AI solutions with internal banking systems and external services
• Support deployment and operation of AI services in containerized environments (Docker, Kubernetes, OpenShift)
• Apply DevOps / MLOps / LLMOps practices for continuous integration, deployment, and monitoring
• Develop and maintain frontend components for internal AI services where required
• Collaborate closely with cross-functional teams and vendors, providing technical guidance and best practices
• Ensure AI solutions meet security, compliance, and regulatory standards in the banking industry

Required Qualifications

• Bachelor's degree or above in Computer Science, Data Science, Engineering, or related disciplines
• Minimum 3-5 years of experience in software engineering, AI engineering, or related roles
• Strong proficiency in Python programming
• Hands-on experience with Generative AI / LLMs, including prompt engineering
• Experience building or working with AI agents or agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, CrewAI)
• Understanding of RAG architectures, embeddings, and vector databases
• Experience with backend development, APIs, and system integration
• Hands-on experience with containerization and orchestration (Docker, Kubernetes, OpenShift)

Nice to Have

• Frontend development experience (e.g., React, Next.js)
• Experience in banking or financial services environment
• Understanding of the Generative AI ecosystem, including:
  • Agentic architectures
  • RAG (Retrieval-Augmented Generation)
  • MCP (Model Context Protocol) or similar frameworks
• Experience with Google cloud platform GCP and vector databases