Security models: OAuth and RBAC securityLLM Frameworks: LangChain, LangGraphMachine Learning Platform (for build, train and deploy ML models): AWS SageMaker for Model hosting.
Hugging Face is good to have.Demonstrated ability to deliver Gen AI solutions, into an enterprise scale production environments, with a focus on application security and observability.Experience building and deploying enterprise grade agent-based architectures and multi-agent orchestration.Strong programming skills in Python, and experience with full-stack development, ensuring quality with automated unit and regression testing.Considerable hands-on experience with the following AI "tech stack".




AWS CloudEKS / ECSBedrockSemantic KernelLangChainLangGraphSageMakerDeep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.Experience deploying Generative AI solutions using enterprise-grade DevOps practices and CI/CD pipelines.Exposure to AI governance, compliance, and ethical AI frameworks, and the development and implementation of security guardrails.Experience delivering software solutions in a banking environment.Experience in fraud detection, customer personalisation, or conversational AI is a plus.Solid communication and stakeholder engagement skills.
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📌 Agentic Ai Engineer (New South Wales)
🏢 Nityo Infotech
📍 New South Wales