Position: AI Engineer

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

Technical skills
- GenAI & LLM expertise: prompt engineering, RAG, evaluation.




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

Problem-solving & pragma sm oriented toward quick, incremental delivery Mandatory skills --- Gen AI / LLM: Prompt Engineering RAG Agent Frameworks API Integration, Connectors, Workflow Development Communication

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

📌 AI specialist / Generative AI design (Sydney)
🏢 Xpt Software Australia
📍 Sydney