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Senior/Tech Lead - AI Development

Datacom
Department:Customer Service
Type:HYBRID
Region:Brisbane
Location:Brisbane, Queensland, Australia
Experience:Mid-Senior level
Estimated Salary:A$140,000 - A$180,000
Skills:
PYTHONTYPESCRIPTMACHINE LEARNINGAIGENERATIVE AITRANSFORMERSLANGCHAINLLAMAINDEXSEMANTIC KERNELAZURE OPENAIAWS BEDROCKSAGEMAKERRAGVECTOR DATABASESDOCKERKUBERNETESINFRASTRUCTURE AS CODEAUTOMATED TESTING
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Job Description

Posted on: April 13, 2026

DescriptionOur purpose Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in About The Role (your Why) The way we work and our customer needs are changing! We are going through a significant AI uplift that will be a real game changer in the ANZ Market. Our customers are loving our story and excited about our new service solutions. As such we are seeking a Senior/Tech lead developers who want to get on board our journey. We need someone who is passionate about AI development and wants to push boundaries. Your software background is key but your passion for AI is a must. This role will see you will join our Digital Engineering team, focusing on delivering innovative AI-driven software solutions. We will offer you opportunity to work on cutting-edge projects, collaborating with cross-functional teams to design, develop, and use the latest AI Models that address complex business challenges. We need multiple people but we need them now so please don't hesitate this is your chance to put an ANZ company on the global map!!! What You’ll BringMust-haves

  • 7+ years professional software development (Python and Typescript preferred) with production ML/AI experience
  • Demonstrated delivery of at least one generative-AI solution in production (chatbot, summariser, code assistant, etc.)
  • 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.

Why join us here at Datacom? Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. We have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size. It's our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us. We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. You’ll have the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment. We operate at the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities. We want Datacom to be an inclusive and welcoming workplace for everyone and take pride in the steps we have taken and continue to take to make our environment fun and friendly, and our people feel supported.

Originally posted on LinkedIn

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