Chief AI Development Officer

4 days ago

Brisbane, Queensland, Australia beBeeArtificial Full time $55,000 - $73,000
Artificial Intelligence Leader

We are seeking an exceptional AI leader to spearhead the development of innovative software solutions.

About The Role

The way we work and our customer needs are changing. We need someone who is passionate about AI development and wants to push boundaries.

This role will see you join our Digital Engineering team, focusing on delivering cutting-edge AI-driven software solutions. You will have the opportunity to work on projects that address complex business challenges.

Key Responsibilities:

  • Lead the development of AI models and their deployment in production environments
  • Collaborate with cross-functional teams to design and develop innovative AI solutions
  • Stay up-to-date with the latest advancements in AI and machine learning

Required Skills and Qualifications:

  • 7+ years professional software development experience with production ML/AI experience
  • Demonstrated delivery of at least one generative-AI solution in production
  • Deep familiarity with transformers and orchestration stacks such as LangChain v0.2+, LlamaIndex or Semantic Kernel
  • Practical experience deploying or fine-tuning models on Azure OpenAI / AI Foundry or AWS Bedrock / SageMaker
  • Hands-on with RAG patterns, vector databases, and evaluation metrics (BLEU, ROUGE-L, GPTScore)
  • Cloud-native engineering skills: Docker, Kubernetes (AKS/EKS), infra-as-code, and automated testing

Nice-to-Haves:

  • Agent frameworks (AutoGen 0.2/0.4, CrewAI) and tool-using agents
  • Multimodal model workflows (image-text with GPT-4o, Gpt4o real-time API)
  • Experience with embedding models
  • Workspace automation using agentic frameworks
  • Advanced RAG variants – familiarity with LongRAG, Self-RAG, GraphRAG, and the trade-offs between leading vector stores (Pinecone, Qdrant, FAISS, Azure AI Search)
  • Multimodal & streaming LLMs – delivering real-time GPT-4o or Gemini 2 Ultra use-cases (image to text or speech) and cross-modal embeddings

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