AI Engineer - Senior Consultant - AI GTM Engine Room
AUD 89K-113K (estimate) Senior-level Full Time
Tasks
- Build agentic workflows
- Build and maintain data pipelines
- Collaborate to transition proof of concept to production
- Deploy AI and Generative AI solutions
- Deploy AI workloads on AWS
- Deploy AI workloads on Azure
- Develop and test LLM powered applications
- Develop scalable AI systems with Responsible AI controls
- Implement MLOps and LLMOps practices
- Implement tool calling and function calling
- Integrate structured and unstructured data
- Prototype AI and Generative AI solutions
- Support data driven architectures
- Track experimentation and model testing
- Use vector databases for retrieval
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agentic Workflows | Anthropic | Azure | Data Pipelines | GCP | LLMOps | Langchain | Language Models | Large Language Models | Llama | MLOps | NoSQL | OpenAI | Prompt engineering | Python | Relational databases | Responsible AI | Security controls | Vector Databases | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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