Cloud Engineer / LLMOps
Snapshot
About the company
Melbourne based AI first startup is using AI agents to reduce the administrative burden for people with disabilities and improve quality of care. They have established product market fit, are VC backed and are ready to grow and deliver.
About the role
You will help manage and scale our Azure-based cloud infrastructure, focusing on performance, observability, and automation of LLM evaluations. You'll work with data-intensive systems, overseeing data ingestion from CRMs, blob storage, and Azure AI Search for vector databases, while ensuring robust pipelines and monitoring. Collaborating with data scientists, you will automate evaluation processes for LLMs, leveraging CI/CD pipelines and Azure Functions for serverless architecture.
About you
- Ideally you have experience in both ML & Cloud Engineering
- You have experience working with data scientists to help evaluate LLMs
- You have strong experience optimising cloud infrastructure for LLMs, ideally using Azure
- You enjoy problem solving and planning up front, breaking problems into small parts and into well written requirements
- You want to use your expertise on a product with social impact
- Meaningful work that reduces the admin burden of people with disabilities
- Collaborate in a team who have experience delivering AI products
- Market salary with option for equity
- Hybrid working in a Melbourne office
Apply with your resume along with links to your website, Github account or projects you've done that you're proud of.
Debbie Teakle
www.lookahead.com.au
Your contact for this role is
Debbie Teakle
.
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