AI Engineer, Full Stack
SGD 60K-108K (estimate) Entry-level Full Time
Tasks
- Build backend services
- Build data annotation workflows and tooling
- Build evaluation and benchmark features
- Build frontend interfaces
- Collaborate with project managers researchers and partners to ship features
- Deploy applications to cloud infrastructure
- Design APIs and data models
- Develop data platform modules end to end
- Integrate annotation tools
- Integrate evaluation frameworks and benchmark suites
- Manage cloud resources and reliability
- Perform incident response and post-mortems
- Set up CI/CD pipelines
- Set up monitoring logging and alerting
- Track evaluation results
- Use AI tools for code generation refactoring review debugging and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Access Control | Alerting | Amazon Web Services | Benchmarking | CI/CD | Cloud Networking | Cloud Storage | Cloud platform | Code review | Data Annotation | Data Catalog | Data Modeling | Data Pipelines | Docker | Google Cloud | Google Cloud Platform | GraphQL | Kubernetes | Logging | Machine Learning | Metadata | Model Evaluation | Monitoring | Multimodal Data | NoSQL | Node.js | Python | REST | React | SQL | Testing | TypeScript | Web Services
Education
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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