AI specialist / Generative AI design at XPT Software Australia Pty Ltd | AU | Rezi

AI specialist / Generative AI design at XPT Software Australia Pty Ltd

AI specialist / Generative AI design

XPT Software Australia Pty Ltd · AU

Today

AI specialist / Generative AI design

XPT Software Australia Pty Ltd · AU

6 hours ago
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About the Role

We are seeking an AI Engineer to translate business needs into GenAI POCs/MVPs that create measurable value. This role involves designing, building, testing, and optimizing GenAI agents, workflows, and prototypes, while collaborating with various teams to ensure alignment and successful deployment.

Responsibilities

  • 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, integration, enablers, architecture).
  • Support deployment readiness by clarifying environments, constraints, and integration prerequisites, from GEN AI point of view.

Requirements

  • Problem-solving & pragmatism oriented toward quick, incremental delivery.

Skills

  • GenAI & LLM expertise: prompt engineering, RAG, evaluation.
  • Agentic & orchestration frameworks: templates, boilerplates, low-code AI platforms.
  • Integration & 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 & communication with non-technical stakeholders.
  • Collaboration in multi-team environments (AI COE, AI Factory, Value Streams, IT).
  • Gen AI / LLM: Prompt Engineering RAG Agent Frameworks API Integration, Connectors, Workflow Development Communication
  • GEN AI/ML Optimization