AI Engineer - Melbourne
AUD 92K-125K (estimate) Mid-level Full Time
Tasks
- Apply responsible AI governance and guardrails
- Build LLM-powered applications
- Build scalable data pipelines
- Create CI CD and automated testing pipelines
- Deploy using Docker and Kubernetes
- Design and deploy enterprise AI solutions
- Develop agentic workflows and multi agent systems
- Evaluate and optimize model performance
- Implement MLOps and LLMOps pipelines
- Implement RAG and retrieval architectures
- Integrate structured and unstructured data
- Monitor models and applications
- Translate business needs into technical architectures
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Automated testing | CI/CD | Cloud platform | CrewAI | Data Governance | Docker | ELT | ETL | Experiment tracking | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Monitoring | NoSQL | Observability | Prompt engineering | Retrieval-Augmented Generation | Security | Vector Databases | Version control | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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