- Hong Kong Hong Kong
IGNITE RECRUITMENT HONG KONG LIMITED Hiring! Full Time AI Software Engineer - Strategic Office - Toptier MNC in Hong Kong, Earn up to HKD 50,000 - Ricebowl
AI Software Engineer - Strategic Office - Toptier MNC
IGNITE RECRUITMENT HONG KONG LIMITED
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Job Description
Responsibilities
One of the long-established Top-tier MNC with Global Large Scale presence company now is looking for an AI Software Engineer to join and work along with C-Level office.
About the Role
AI as a core enterprise capability. We treat AI engineering like mission-critical software: secure, observable, scalable, and supportable.
We are seeking a hands-onAI Platform Engineer to join the Office of the CEO. In this highly autonomous role, you will build and operate a personalized AI agent platform that accelerates executive productivity and strategic decision-making.
This is a builder role focused on software delivery, not research or experimentation. You will turn cutting-edge AI capabilities into dependable, production-ready enterprise services while partnering with Technology to support our global operations.
Key Responsibilities
Agentic AI Development
- Design Autonomous Agents: Build multi-agent workflows capable of planning, executing, and iterating on complex executive tasks like strategy drafting and market research.
- Automate Executive Reporting: Create data-driven dashboards that aggregate cross-departmental metrics for a unified view of global operations.
- ️ Software & Platform Foundations
- Backend Engineering: Design and maintain backend services built explicitly for heavy AI workloads.
- Infrastructure Management: Implement environment provisioning, secure secrets management, and automated deployment pipelines.
- Engineering Excellence: Enforce rigorous software practices including CI/CD, testing, version control, and clear technical documentation.
AI Production & LLMOps
- Deploy LLMOps Pipelines: Build production systems for model packaging, versioning, deployment, and seamless rollbacks.
- Integrate Enterprise Data: Connect AI systems to existing corporate data flows, avoiding isolated tool islands.
- Deep Observability: Embed comprehensive logging, tracing, metrics, and runtime health indicators into all AI services.
️ Reliability, Security & Scale
- Architect for Scale: Design highly available systems that scale predictably and maintain cost-efficiency.
- Secure by Design: Implement strict access controls, data protection, and network environment segregation.
- Operations Alignment: Partner with FML Cybersecurity and Operations to establish incident response plans and runbooks.
Key Relationships
- Internal: Office of the CEO, FML Technology (Architecture & Security), Data and Product Teams.
- External: Cloud vendors, AI platform providers, and specialist consultants.
Job Requirements
Essential Qualifications
- Experience: 4+ years of Software, Platform, or Backend Engineering experience, with 1-2 years focused on LLM applications, RAG systems, or Agentic AI frameworks.
- Core Language: Expert-level Python for backend logic and data manipulation.
- AI Expertise: Experience with commercial LLMs (OpenAI, Anthropic, Gemini) and RAG pipelines in production.
- Backend & APIs: Proven building REST/gRPC APIs and working with data-intensive JSON systems.
- Cloud & DevOps: Experience with cloud infrastructure (AWS, Azure, or GCP) and CI/CD and infrastructure automation tools.
- Education: Degree in Computer Science, Data Science, Engineering, or a related field.
Desirable Attributes
- LLMOps Tooling: Experience with MLflow, Kubeflow, model registries, or LLM evaluation frameworks.
- Containers: Familiarity with Docker and Kubernetes orchestration.
- Industry Context: Experience in regulated or complex sectors such aviation , logistics, or transport.
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