Role summary:

Develop, enhance, and operate a production-grade AI platform that automates procurement compliance checks across the procure-to-pay lifecycle. The role focuses on platform engineering, enterprise integrations, AI pipeline operationalization, observability, and cloud-native solution delivery, ensuring AI capabilities are scalable, reliable, and auditable.

Key responsibilities:

- Design, build, and maintain cloud-native services and data integration pipelines supporting AI-powered compliance workflows

- Develop and enhance document processing and orchestration pipelines using Azure Functions and event-driven architectures

- Integrate enterprise systems including SAP, Snowflake, Cosmos DB, and other source-of-truth platforms

- Build and operate evaluation infrastructure, telemetry, monitoring dashboards, and operational tooling for AI services

- Implement CI/CD, automated testing, and production support practices to ensure platform reliability and security

- Collaborate with Data Scientists and product teams to productionize AI capabilities and continuously improve platform performance

Requirements

Mandatory skills:

- Robust Python development experience with production-grade, testable, and maintainable code

- Experience building and operating applications on Azure cloud,



including serverless and event-driven architectures

- Strong knowledge of data integration, SQL, and enterprise data platforms such as Snowflake or similar warehouses

- Experience developing APIs, microservices, and distributed systems

- Hands-on experience with CI/CD pipelines, Git-based development, and DevOps practices

- Strong understanding of observability, including logging, tracing, performance monitoring, and operational dashboards

Preferred skills:

- Experience with Azure OpenAI, Azure Document Intelligence, OCR, or AI-powered applications

- Familiarity with LLM integration, prompt orchestration, and AI application development

- Experience integrating with SAP, OData services, or enterprise ERP platforms

- Experience working in agentic development environments and AI-assisted engineering workflows

Experience:

- 5–10+ years of experience in software engineering, cloud application development, or platform engineering

- Proven track record delivering and supporting cloud-native, enterprise-scale applications in production environments

- Experience working in AI, data-driven, or intelligent automation platforms is highly desirable

📌 Software Developer (Perth)
🏢 Xpt Software Australia
📍 Perth