AI Engineer Python
Tasks
- Apply secure coding standards
- Build Docker containers
- Build shared libraries and service templates
- Conduct code reviews
- Create test and quality engineering practices
- Deploy to Kubernetes clusters
- Design agent consumable interfaces
- Develop Python packaging and type systems
- Evaluate AI assisted engineering tools
- Implement CI/CD pipelines
- Implement async Python services
- Integrate AI ML tools for developer productivity
- Maintain documentation as code
- Manage infrastructure with Terraform
- Mentor junior engineers
- Optimize performance and scalability
- Perform vulnerability assessments
- Profile and benchmark Python applications
- Set monitoring observability and alerting
- Translate stakeholder needs into platform solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Alerting | Async | Benchmarking | CI/CD | Docker | Documentation as Code | Kubernetes | Machine Learning | Monitoring | Observability | Packaging | Profiling | Python | Quality Engineering | Security | Terraform | Test automation | TypeScript | Vulnerability Assessment | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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