AI Software Engineer
Tasks
- Build data and model serving pipelines
- Convert AI research prototypes into scalable reliable software
- Create evaluation harnesses quality gates and regression tests
- Design and build production backend services and APIs for AI capabilities
- Develop event driven microservices for large scale customer interactions
- Ensure secure and compliant handling of PII with access control and encryption
- Implement observability with logging tracing metrics dashboards and alerts
- Integrate AI services with error handling monitoring and fallback paths
- Own CI CD and deployment automation
- Perform code reviews and mentor team members
Perks/Benefits
- Continuous development via learning platforms
- Corporate benefits and discounts
- External training
- Flexible schedule
- Hybrid working
- Modern office
Skills/Tech-stack
Access Control | Alerting | BigQuery | CI/CD | Cloud Run | Cloud platform | Dashboards | Docker | Encryption | Error Handling | Evaluation | Event Driven | Event-driven architecture | FastAPI | Flask | GDPR | GKE | Google Cloud | Google Cloud Platform | Kubernetes | Logging | Metrics | Microservices | Monitoring | NoSQL | PubSub | Python | REST API | Regression testing | Relational databases | Secure Handling of PII | Secure handling | Tracing | Vector Databases | Vertex AI
Education
Roles
AI | AI Software Engineer | Backend | Backend Software Engineer | Engineer | Software Engineer
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