Senior Full Stack Agentic AI Engineer – Sydney

Delivery Centric; Sydney; On-site; AUD 180,000 - 250,000; Full time

Job summary

Delivery Centric in Sydney seeks an experienced Senior Full Stack Agentic AI Engineer to design, develop and deploy enterprise-grade Generative AI and multi-agent solutions. You will combine Python AI engineering with full-stack development and AWS cloud technologies to deliver scalable, secure and observable architectures.

The role emphasizes production readiness, prompt engineering, and governance across AI initiatives while collaborating with business and technology stakeholders to translate

Qualifications

• Experience delivering Generative AI solutions into enterprise-scale production environments.
• Hands-on experience building agent-based architectures and multi-agent orchestration solutions.
• Strong programming skills in Python and full-stack development experience, particularly Next.js.
• Hands-on experience with 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.

Responsibilities

• Design, build and deploy enterprise-grade Generative AI solutions and agent-based architectures.
• Develop and implement multi-agent orchestration solutions using LangChain, LangGraph and Semantic Kernel.
• Build full-stack applications using Python and Next.js, ensuring scalability and maintainability.
• Deploy and manage AI solutions on AWS using 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 stakeholders to translate requirements into scalable AI solutions.

Skills

Python

Next.js

Generative AI

Agent-based architectures

AWS Cloud

CI/CD

Security guardrails

Observability

Stakeholder engagement

Banking domain experience

Tools

LangChain

LangGraph

Semantic Kernel

Hugging Face

Amazon Bedrock

SageMaker

AWS EKS/ECS

Job description

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.
• 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.

Desirable Experience

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