Security models: OAuth and RBAC security

LLM Frameworks: LangChain, LangGraph

Machine Learning Platform (for build, train and deploy ML models): AWS SageMaker for Model hosting. Hugging Face is positive to have.
Demonstrated ability to deliver Gen AI solutions, into an enterprise scale production settings, 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 Cloud
EKS / ECS
Bedrock
Semantic Kernel
LangChain
LangGraph
SageMaker




Deep 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.
Robust communication and stakeholder engagement skills.
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📌 Agentic Ai Engineer City Of Sydney
🏢 Nityo Infotech
📍 City of Sydney