The Role
Build and optimize Generative AI proofs of concept and MVPs by designing agents, prompts, RAG patterns, orchestrations, and end-to-end workflows. Translate business needs into measurable AI solutions, assess technical feasibility, integrate LLMs with APIs and enterprise connectors, and support deployment readiness. Collaborate with AI centers of excellence, product teams, IT, and business stakeholders to frame requirements, resolve blockers, and enable incremental delivery.
Summary Generated by Built In
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
Skills Required
- Generative AI and large language model expertise
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI agent frameworks and orchestration
- API integration and enterprise connectors
- Workflow development and automation
- GenAI evaluation
- Machine learning and optimization knowledge
- Software engineering and coding fundamentals
- Communication with nontechnical stakeholders
- Cross-functional collaboration
- Pragmatic problem-solving and incremental delivery
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The Company
What We Do
XPT Software Australia Pty Ltd is a technology consulting and software services company serving clients across banking, financial services and insurance, telecommunications, mining, retail, energy, and manufacturing. It provides software development, IT management consulting, business analysis, project and program management, infrastructure support, and offshore development through onsite-offshore delivery. The company also works with cloud computing, big data, mobile applications, UI/UX, algorithms, and IoT.
