About Eziway
Australian-founded in 2007, Eziway is a growing salary packaging provider with nearly 120 people partnering with 500+ employer groups across every state. Our people aren't just employees — they're the reason we succeed.
The Role
We're looking for a Software Developer to sit at the intersection of our established platform engineering and an emerging AI layer. You'll extend and modernise our ASP.NET codebase while designing and shipping AI features and agents that are accurate, safe, measurable, and genuinely useful. In our domain — regulated financial services — accuracy, privacy, and auditability aren't afterthoughts. They're the job.
How You'll Work
Reporting into our engineering team, you'll work across:
• Platform Engineering — Building, enhancing, and modernising the ASP.NET (C# MVC) platform
• AI & Integration — Designing and shipping LLM-powered features and agents into production
• Third-Party Services — RESTful API integrations, webhooks, and external service connections
• Product & Support — Bridging engineering with real-world usage and user needs
What You'll Own
• .NET Platform — Develop and enhance ASP.NET (C# MVC) with a focus on performance, security, and extensibility; build and maintain third-party integrations; contribute to testing, deployment, and quality standards
• AI Features — Design, build, and ship AI-powered features and agents from prototype to production, serving real users
• LLM Integration — Integrate Azure OpenAI, Anthropic Claude, and OpenAI capabilities into .NET applications via APIs and SDKs
• RAG Implementation — Build retrieval-augmented generation over our domain data so AI features respond accurately within our product context
• AI Performance — Define and track metrics like accuracy, task-completion rate, latency, and fallback frequency; continuously improve based on real usage
• AI Guardrails — Apply prompt engineering, evaluation, and safeguards appropriate to a regulated financial domain
What We're Looking For
• Expert knowledge of .NET Framework (ASP.NET) with experience in modern .NET (Core / .NET 6+)
• Experience with SQL Server, Entity Framework, Azure DevOps, and Git
• Demonstrated experience integrating LLM/AI capabilities into production applications — shipped features, not just demos
• Familiarity with agent frameworks like Microsoft Semantic Kernel, Microsoft Agent Framework, or LangChain / LangGraph
• Working understanding of RAG, embeddings, and vector search
• Experience measuring and improving AI system performance
• Comfortable building third-party integrations (RESTful APIs, webhooks, JSON)