Senior Full Stack Agentic AI Engineer – Sydney

Delivery Centric is seeking an experienced Full Stack Agentic AI Engineer to design, develop and deploy enterprise-grade Generative AI and multi-agent solutions. The role combines Python-based AI engineering, full-stack development andAWS cloud technologies, with a strong focus on production readiness, application security, observability and scalable AI architectures.

Key Responsibilities

- Design, build and deploy enterprise-grade Generative AI solutions and agent-based architectures.
- Develop and implement multi-agent orchestration solutions using frameworks such as LangChain, LangGraph and Semantic Kernel.
- Build full-stack applications using Python and Next.js, ensuring scalability, performance and maintainability.
- Deploy and manage AI solutions on AWS using services such as Bedrock, SageMaker, EKS and ECS.
- Apply prompt engineering, model fine-tuning and foundational AI model capabilities to enterprise use cases.
- Implement automated unit and regression testing to ensure solution quality and reliability.
- Integrate enterprise DevOps practices, CI/CD pipelines and deployment automation.
- Implement application security, AI guardrails, observability and monitoring.
- Apply AI governance, compliance and responsible AI principles across solution development.
- Collaborate with business and technology stakeholders to translate requirements into scalable AI solutions.

Required Skills and Experience

- Hands-on experience building agent-based architectures and multi-agent orchestration solutions.
- Strong programming skills inPython and full-stack development experience, particularly Next.js.
- Hands-on experience with the following technologies: AWS Cloud, Amazon EKS/ECS, Amazon Bedrock, Semantic Kernel,



LangChain, LangGraph, Hugging Face, Amazon SageMaker.
- Strong understanding of foundational AI models, prompt engineering and fine-tuning techniques.
- Experience with enterprise DevOps practices, CI/CD pipelines and automated testing.
- Knowledge of application security, observability, AI governance, compliance and security guardrails.
- Strong communication and stakeholder engagement skills.
- Experience delivering software solutions within thebanking or financial services domain.
- Exposure to fraud detection, customer personalisation or conversational AI solutions.

Delivery Centric is seeking an experienced Full Stack Agentic AI Engineer to design, develop and deploy enterprise-grade Generative AI and multi-agent solutions. The role combines Python-based AI engineering, full-stack development andAWS cloud technologies, with a strong focus on production readiness, application security, observability and scalable AI architectures.

Key Responsibilities

- Design, build and deploy enterprise-grade Generative AI solutions and agent-based architectures.
- Develop and implement multi-agent orchestration solutions using frameworks such as LangChain, LangGraph and Semantic Kernel.
- Build full-stack applications using Python and Next.js, ensuring scalability, performance and maintainability.




- Deploy and manage AI solutions on AWS using services such as Bedrock, SageMaker, EKS and ECS.
- Apply prompt engineering, model fine-tuning and foundational AI model capabilities to enterprise use cases.
- Implement automated unit and regression testing to ensure solution quality and reliability.
- Integrate enterprise DevOps practices, CI/CD pipelines and deployment automation.
- Implement application security, AI guardrails, observability and monitoring.
- Apply AI governance, compliance and responsible AI principles across solution development.
- Collaborate with business and technology stakeholders to translate requirements into scalable AI solutions.

Required Skills and Experience

- Proven experience deliveringGenerative AI solutions into enterprise-scale production environments.
- Hands-on experience building agent-based architectures and multi-agent orchestration solutions.
- Strong programming skills inPython and full-stack development experience, particularly Next.js.
- Hands-on experience with the following technologies: AWS Cloud, Amazon EKS/ECS, Amazon Bedrock, Semantic Kernel, LangChain, LangGraph, Hugging Face, Amazon SageMaker.
- Robust understanding of foundational AI models, prompt engineering and fine-tuning techniques.
- Experience with enterprise DevOps practices, CI/CD pipelines and automated testing.
- Knowledge of application security, observability, AI governance, compliance and security guardrails.
- Strong communication and stakeholder engagement skills.

Desirable Experience

- Experience delivering software solutions within thebanking or financial services domain.
- Exposure to fraud detection, customer personalisation or conversational AI solutions.

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📌 Senior Full Stack Agentic AI Engineer – Sydney
🏢 Delivery Centric
📍 Sydney