Applied AI Engineer
Tasks
- Build data pipelines
- Build reusable skills library
- Build test harnesses
- Conduct technical workshops
- Create architecture documentation
- Create system prompts
- Debug data pipeline issues
- Define tool schemas
- Design skill interfaces
- Develop AI-powered solutions
- Implement infrastructure-as-code
- Maintain CI/CD pipelines
- Operate model deployments
- Translate prototypes to production systems
- Write evaluation scenarios
Perks/Benefits
- Flexible work arrangements
- Leadership programs
- Learning programs
- Paid parental leave
- Paid volunteering days
- Retail discounts
- Salary packaging
- Volunteering days
- Wellbeing leave
Skills/Tech-stack
Agent architecture | CI/CD | Data pipeline | Docker | Infrastructure as Code | IoT | JavaScript | Kubernetes | LLM | Model Operations | Prompt engineering | Python | REST API | React | SCADA | Sensor Networks | Simulation | Telemetry | Test automation | Time Series | Tool use | TypeScript | WebSocket | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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