Job Title: Agentic AI Engineer

Location: Sydney

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

- 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.
- Robust communication and stakeholder engagement skills.

Please contact me at [email protected] for additional details

Work Location: In person

📌 Agentic AI Engineer (Sydney)
🏢 Delivery Centric
📍 Sydney