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Build and deploy production software directly with customers in regulated environments. Responsibilities span workflow discovery, frontend and backend development, data, integrations, testing, deployment, customer demonstrations, and productization. The role requires translating ambiguous operational problems into safe, reusable product capabilities while documenting evidence, risks, and uncertainties. Engineers collaborate closely with operators and product teams, working across AI systems, cloud infrastructure, authentication, and auditability in a remote-first environment.

Design and deliver modern data platforms, scalable and secure ingestion and transformation pipelines, durable data models, streaming systems, and reporting layers. Partner directly with clients and business stakeholders to translate requirements into architecture, explain tradeoffs, and own delivery outcomes. The role includes production implementation across cloud data platforms, orchestration, governance, real-time technologies, and analytics or AI data consumption.

Own the full client lifecycle for AI engagements: sell through live-data demonstrations, configure connectors and skill files, onboard teams, drive adoption through the day-89 continuation decision, and retain and expand accounts. Identify additional workflows AI can manage, grow client relationships and referrals, and contribute client insights to the company’s shared context layer. The role combines consultative selling, hands-on implementation, customer enablement, analytics, and account growth.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

The Senior AI Engineer will design and implement personalized agent workflows, memory systems, and evaluate AI agents while collaborating with platform engineering on a proprietary platform.

The Senior Designer will lead visual execution, build scalable brand systems in Figma, and translate strategy into production-ready design, while collaborating across teams.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

Develop enterprise relationships across Australia, generate opportunities, lead complex multi-stakeholder sales conversations, and close paid discovery engagements for AI and technology services. Translate technical concepts for business buyers, engage credibly with technical leaders, coordinate technical experts, maintain pipeline forecasts, and own commercial relationships through handoff, expansion, and renewal. Frequent in-person customer engagement and travel are required.

Lead end-to-end product design for verticals or platform surfaces, turning ambiguous regulatory workflows into build-ready prototypes and reusable design systems. Drive accessibility (WCAG 2.2 AA), conduct remote user research and usability testing, pair with front-end engineers on component-driven implementations, and raise design craft across the team.

The Full Stack Engineer will architect and build 'The SOURCE®' platform, integrating AI and automating workflows while ensuring scalability and simplicity.