Job Title: Agentic AI Developer
Location: Sydney
Job description:
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.
- Strong communication and stakeholder engagement skills.
About Us:
We are Delivery Centric, a dynamic technology company that is transforming the delivery of cloud implementations and cybersecurity. We are headquartered in Australia with a global presence. We are tenacious, future-thinking, and highly driven to achieve an ambitious vision to be the leading global provider of innovative technologies for companies that keep our world clean, safe, and secure.
Our fast-paced and supportive environment will offer you lots of benefits, including a competitive salary, a friendly team, a healthy work environment, and opportunities for training and development.
Please contact us at [email protected] for additional details
Job Type: Full-time
Work Authorisation:
Work Location: Hybrid remote in Sydney NSW
