AI Engineer
Tasks
- Build production grade AI systems integrating LLMs with enterprise systems APIs and data sources
- Deploy end to end AI solutions with multi step workflows
- Design AI system design patterns for grounding retrieval orchestration
- Design implement and deliver AI systems in production
- Develop automation workflows with agent driven approaches when appropriate
- Operate and continuously improve AI systems with testing and monitoring
- Select AI approach based on fit cost scalability risk
- Translate business needs into AI solutions
Perks/Benefits
- Employee discounts
- Employee share scheme
- Enhanced leave
- Flexible work options
- Healthcare insurance
- Income protection insurance
- KiwiSaver contributions
- Learning and development opportunities
- Life insurance
- Parental leave
- Trauma insurance
- Wellbeing program
Skills/Tech-stack
APIs | Automation | C# | Cloud Computing | Context engineering | Deployment | Human-in-the-loop | Information Retrieval | LLM integration | Language Models | Large Language Models | Prompt engineering | Python | Testing | The Loop | Tool integration | TypeScript | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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