Job Description
Betashares is hiring a Software Engineer to build our internal AI Platform powering Agentic AI use cases across the organisation. This is a frontend-heavy role where you'll craft the interfaces and interaction patterns that make AI capabilities accessible while also bringing backend competency to architect platform services and integrations.
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You'll work directly with designers, business users, and platform engineers to deliver AI-native experiences that serve teams company-wide. This role is hands-on, with a solid focus on execution, while also contributing to user-centred thinking and continuous improvement across our AI ecosystem.
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Role Responsibilities
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Design and build AI interfaces and interaction patterns for the internal platform and business applications, translating complex agentic workflows into intuitive, performant user experiences.
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Own frontend architecture for AI-powered features while contributing to platform backend capabilities, including but not limited to, APIs, backend architecture, and integrations that enable agentic functionality.
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Partner with designers to establish UI/UX standards that enable complex AI interactions.
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Work with business users to understand specific AI use cases, rapidly prototype interfaces, and iterate on tools that make agentic AI accessible to non-technical stakeholders.
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Collaborate with engineers to connect frontend experiences with backend AI infrastructure.
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Test the AI capabilities you build and leverage AI tooling to accelerate platform development while refining the user experience for staff.
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Maintain operational excellence across the AI platform stack with administrative control panels and dashboards: ensure AI platform operations are readily manageable at enterprise scale.
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Key skills and experience
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Strong frontend engineering fundamentals with TypeScript/React expertise and a portfolio of complex, interactive applications.
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Hands-on familiarity with AI interaction patterns and a proven track record of leveraging AI tooling heavily in your development workflow is highly valued.
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Experience with Agentic AI: LLM application development, multi-agent patterns, tool use, retrieval-augmented generation, or AI workflow orchestration.
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Track record of collaborating with designers on UX patterns, and ability to translate ambiguous business requirements into concrete interface specifications.
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Comfort working across the stack and context-switching between UI polish (animation, accessibility, state management) and platform architecture decisions (data models, service boundaries).
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Strong communication skills, ability to teach AI literacy, and patience for working with business users who may be early in their AI adoption journey.
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Experience in financial services or regulated environments is a plus, but not essential.
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📌 Software Engineer - Ai (New South Wales)
🏢 BetaShares
📍 New South Wales