Principal AI Engineer
Tasks
- Build RAG and agentic AI solutions
- Conduct knowledge sharing and best practices
- Design AI services for banking
- Develop AI solutions and services
- Ensure compliance with laws and regulations
- Fine tune algorithms to reduce processing time
- Identify and resolve risk conduct and compliance issues
- Implement error handling and system testing
- Integrate OCR and document processing
- Integrate bank data sources into pipelines
- Optimize AI solutions for scalability
- Provide technical guidance to junior engineers
- Reduce resource consumption
Perks/Benefits
- Development courses
- Digital wellbeing platform
- Employee assistance programme
- Flexible working
- Life insurance
- Medical insurance
- Mental health support
- Retirement savings
- Sick leave
- Time off
Skills/Tech-stack
AKS | AWS | Azure | C++ | CI/CD | Containerization | CrewAI | Data Integration Pipelines | Data integration | Databricks Unity | Databricks Unity Catalog | DevOps | Dify | Distributed Systems | Docker | GPU Computing | Infrastructure as Code | Integration pipelines | Java | Kubeflow | Kubernetes | Langchain | Langgraph | MLflow | Machine Learning | OCR | OpenShift | PyTorch | Python | RAG | TensorFlow | Unity Catalog | “as-code”
Education
N/A
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