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 good 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.
- 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 setting.
- Experience in fraud detection, customer personalisation, or conversational AI is a plus.
- Strong communication and stakeholder engagement skills.

Interested? Please apply, thanks for your interest and time.

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📌 Agentic AI Engineer (City of Sydney)
🏢 FR Consultancy
📍 City of Sydney