Lead AI Data Engineer-GCP
Posted
Summary
Leads the design and delivery of multi-agent generative AI solutions on Google Cloud, writing production Python and using Vertex AI (Agent Builder, Search, Conversational Agents) plus open-source GenAI frameworks like LangChain and LlamaIndex. Based in Victoria, Australia; candidates must already hold an AU visa with full work rights.
Status: AU valid visa with full work rights
Responsibilities
- Lead the design, development and implementation of multi-agent AI architectures to address specific business requirements
- Ability to explain the technical design considerations of the solution
- Develop efficient code that is modular and scalable following the coding best practices
- Work closely with customer and internal teams that consists of software engineers, data scientists and domain experts
- Clearly document system designs, algorithms and implementation details
Primary Skills
- Strong programming skills in python (essential), frameworks like PyTorch, TensorFlow
- Good knowledge of GCP services to develop and deploy applications
- Hands on experience working with Vertex AI generative AI services like Agent Builder, Search and Conversational agents
- Knowledge of implementing guardrails for responsible AI and minimizing hallucination
- Knowledge of designing the AI solutions at scale for considerations like performance, cost and accuracy
- Working knowledge of popular Open Source generative AI frameworks like LangChain, LlamaIndex, Ragas, Langraph, Langsmith
- Solid understanding of machine learning, deep learning and Generative AI concepts including agentic patterns, testing and integration experience.
- Testing of code for quality and optimization