Status:AU valid visa with full work rights
Languages:Python (primary) with FastAPI
Containers :Docker and Kubernetes
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 valuable to have.
Responsibilities
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.
Solid 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.
Interested?
Please apply, thanks for your interest and time.
J-*-Ljbffr

📌 Agentic Ai Engineer New South Wales
🏢 FR Consultancy
📍 New South Wales