AI Engineer - AI GTM Engine Room
AUD 80K-100K (estimate) Senior-level Full Time
Tasks
- Architect and implement LLM-powered applications and workflows
- Deploy AI workloads across cloud platforms using containerization CI/CD and infrastructure-as-code
- Design and optimize data pipelines
- Design and oversee data-driven architectures
- Engineer scalable AI systems with responsible AI controls
- Establish and embed MLOps and LLMOps practices
- Evaluate emerging models and orchestration approaches
- Implement vector database strategies and relational NoSQL systems
- Lead prototyping and deployment of AI and Generative AI solutions
- Mentor and guide junior engineers
Perks/Benefits
Skills/Tech-stack
AWS Azure GCP | Agentic system design | Artificial Intelligence | Azure GCP | CI/CD | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS Azure | Cloud platforms AWS Azure GCP | Containerization | Data Engineering | Generative AI | Infrastructure as Code | LLMOps | LLMs | Langchain | MLOps | Machine Learning | Model Evaluation | Orchestration frameworks | Python | Responsible AI | System design | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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