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Protect Absa’s AI systems by designing secure AI architectures, detecting AI-specific threats, and running offensive security tests like prompt injection and agent manipulation.
Build and maintain cloud infrastructure, CI/CD pipelines, and observability for enterprise AI solutions, ensuring secure, scalable deployments from proof of concept to production.
Build and deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
Build and maintain custom software and AI agents for the CEO, integrating LLMs and automation into executive workflows and decision-support systems.
Build and deliver AI-powered audio information tools for enterprise customers, integrating Speechify’s platform into their workflows and troubleshooting technical onboarding issues.
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Designs and implements enterprise AI platforms, including LLM-based solutions, RAG architectures, and AI agents, using Microsoft Fabric and Azure.
Build and ship production-grade AI agents for meditation and mental-health experiences, blending robust engineering with clinical judgment to create safe, evidence-informed wellbeing tools for 30M+ users.
Design and deliver enterprise-scale AI solutions for a university, turning strategic needs into secure, scalable architectures that integrate models and platforms across cloud environments.
Design and implement AI agents and RAG systems to automate software engineering tasks like code review, testing, and documentation, driving measurable productivity gains across the SDLC.
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Lead AI Engineer builds and deploys production AI workflows, agents, and integrations to automate business processes and improve security at an Australian comms-tech company.
Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to a unique range of experiences and opportunities, helping drive the success of the country’s most…
Design and deliver enterprise-scale AI solutions for a university, leading architecture, integration, and operationalization of AI systems across education and research.
Design and lead enterprise AI solutions for Australian clients, building secure LLM/RAG architectures and rapid PoCs while mentoring AI engineers.
Build AI-powered web apps with React/Next.js and Python backends, integrating LLMs and RAG pipelines to automate design workflows and business operations.
Lead a team building enterprise-grade AI solutions for healthcare, deploying LLMs on cloud platforms like AWS/Azure with OpenShift and Kubernetes while ensuring security, compliance, and scalability.
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