Job Description

Position: AI Engineer

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- Translate business needs into GenAI POCs/MVPs that create measurable value.
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- Design and configure GenAI agents and workflows using provided frameworks and technical enablers.
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- Support business and technical framing to secure feasibility, clarity, and architectural alignment.
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- Build, test, and optimize GenAI prototypes, including agents, prompts, RAG patterns, and orchestrations.
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- Assemble end-to-end AI workflows using LLM, connectors, APIs, and automation tools.
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- Collaborate with AI COE, AI factory and Value Streams to refine scope, solve blockers, and ensure reuse of enablers.
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- Help structure business framing (process, pain points, value, KPIs) managed by Product Owners.
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- Contribute to technical framing managed by Product Leaders (feasibility, integra on, enablers,architecture).
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- Support deployment readiness by clarifying environments, constraints, and integration prerequisites, from GEN AI point of view.
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Technical skills

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- GenAI & LLM expertise: prompt engineering, RAG,



evaluation.
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- Agen c & orchestration frameworks: templates, boilerplates, low-code AI platforms.
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- Integra on & automation: APIs, connectors (Jira, Confluence, SAP), workflow tools.
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- Software engineering basics: coding to adapt agents, workflows, and templates.
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- Broad understanding of AI techniques beyond GenAI (ML, optimization,), to assess when GenAI is (or is not) the right approach.
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- Business framing & communica on with non-technical stakeholders.
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- Collabora on in mul-team environments (AI COE, AI Factory, Value Streams, IT).
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Problem-solving & pragma sm oriented toward quick, incremental delivery

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Mandatory skills --- Gen AI / LLM: Prompt Engineering RAG Agent Frameworks API Integration, Connectors, Workflow Development Communication

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Gen AI & LLM expertise: prompt engineering, RAG, evaluation; GEN AI/ML Optimization

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📌 AI specialist / Generative AI design (New South Wales)
🏢 BlackCube Labs
📍 New South Wales