We're looking for one thing: someone who builds.
You use AI as a force multiplier — Claude or Copilot open on the second screen, prompting before Googling — and you ship real systems into production, not decks and prototypes.Most AI consulting stalls at the POC.
We're hiring for the opposite problem: people who can take an idea from a client conversation to something running in an enterprise workplace, with the governance, security and reusability that survives handover.You'll be the one making it.
But you'll also be in the room when the problem is still fuzzy, so you need enough consulting instinct to run a discovery session, and enough architecture judgement to build something we don't have to rebuild.What You'll DoBuild and productionise AI-enabled solutions — LLM apps, RAG, agents, automation — in real client environmentsShape the problem — sit with clients early and translate technical options into business termsMake architecture calls that hold up — secure, explainable, supportable, reusableDrive efficiency — use AI tooling to compress delivery timelines, and know when not to use itLift the team — raise AI fluency in the people around youWhat We're Looking For3-5+ years building software or data systems,



with recent hands-on deliveryDemonstrable AI tool fluency in your current role — you can talk specifics about what you've built and what you've abandonedSomething you've taken to production, not just to demoComfortable client-facing: you can run a workshop, not just attend oneExperience in Agile delivery and comfort with rapid iterationAI-Specific Competencies (at least 3 of the following):LLM-based applications in production (RAG, prompt engineering, evals, fine-tuning)Hands‐on with AI coding assistants and AI‐driven DevOps pipelines at team scaleFamiliarity with AI/ML platforms (Azure OpenAI, AWS Bedrock, Vertex AI, or equivalent)Agentic AI frameworks (LangChain, AutoGen, CrewAI, or your own)Responsible AI: risk frameworks, bias mitigation, explainability, and the emerging Australian regulatory contextTrack record of measuring AI ROI and operationalising AI at enterprise scaleCertifications in cloud AI platforms (Azure AI Engineer, AWS Machine Learning, Google Cloud AI)Background in data science, MLOps, or AI product managementPublished thought leadership or speaking experience on practical AI adoptionUnlock job insightsYour application will include the following questions:Which of the following statements best describes your right to work in Australia?
What's your expected annual base salary?
How much notice are you required to give your current employer?
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📌 Senior Ai Engineer (Melbourne)
🏢 Blackbook.AI
📍 Melbourne