AI Engineer - Manager
HKD 150K-240K (estimate) Senior-level Full Time
Tasks
- Architect scalable backend systems
- Build RAG pipelines and vector database solutions
- Coordinate cross-functional delivery teams
- Deploy cloud native AI applications
- Design Agentic AI systems
- Develop APIs and microservices
- Develop and deploy LLM applications
- Drive MLOps and GenAIOps best practices
- Establish AI evaluation frameworks
- Implement tool calling orchestration and memory management
- Lead AI solution design and delivery
- Lead client workshops and discovery sessions
- Mentor engineers through code reviews and feedback
- Perform architecture reviews and solution demonstrations
- Set up CI CD testing monitoring and evaluation
- Support sales pre sales and proposal development
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agentic AI | Azure | CI/CD | Cloud Native | Databricks | Docker | Evaluation | FastAPI | Flask | GCP | GenAIOps | Human-in-the-loop | Kubernetes | LLMs | Langchain | Llamaindex | MLOps | Memory Management | Microservices | Model Risk Management | Model risk | Monitoring | Observability | Orchestration | PyTorch | Python | RAG | Responsible AI | Risk Management | Security | Semantic Search | Terraform | The Loop | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Manager
Regions
Countries
States
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