Must Have:

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.

Databases: Postgres, Snowflake

Valuable 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

HuggingFace

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.

Strong communication and stakeholder engagement skills.

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