Required Skills

- 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.

Good to have

- Front End: React and Next.js
- Scala/Java and R

Detailed JD AI+Cloud

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.

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📌 Artificial Intelligence Engineer (City of Sydney)
🏢 Nityo Infotech
📍 City of Sydney