Role: Agentic AI Engineer
Location: Sydney
Job Description:
We are seeking an experienced Full Stack Agentic AI Engineer to design, develop, and deploy enterprise-grade Generative AI and agent-based solutions. The ideal candidate will have strong expertise in Python, full-stack development, cloud technologies, and AI frameworks, with hands-on experience building scalable AI applications and multi-agent architectures.
The role involves developing secure, production-ready AI solutions, integrating large language models, implementing AI orchestration frameworks, and ensuring enterprise standards for application security, observability, governance, and performance.
Key Responsibilities
- Design, develop, and deploy enterprise-scale Generative AI solutions in production environments.
- Build and implement agent-based architectures and multi-agent orchestration solutions.
- Develop scalable backend services using Python and build full-stack applications using modern frameworks, including Next.js.
- Integrate and work with foundational AI models, LLMs, prompt engineering, and fine-tuning techniques.
- Leverage AWS cloud services and AI technologies to build and deploy enterprise-grade AI applications.
- Implement AI orchestration and development frameworks such as LangChain, LangGraph, and Semantic Kernel.
- Deploy and manage AI solutions using AWS services, including EKS, ECS, Bedrock, and SageMaker.
- Establish and maintain CI/CD pipelines and enterprise DevOps practices for reliable application deployment.
- Implement automated unit testing, regression testing, and quality assurance practices.
- Ensure application security, observability, and performance across AI-powered applications.
- Apply AI governance, compliance, ethical AI practices, and security guardrails.
- Collaborate with cross-functional teams and business stakeholders to translate business requirements into scalable AI solutions.
Required Skills and Experience
- Strong experience delivering Generative AI solutions in enterprise production environments.
- Hands-on experience designing and deploying agent-based architectures and multi-agent systems.
- Strong programming skills in Python and experience in full-stack development, particularly Next.js.
- Hands-on experience with AWS Cloud, including EKS, ECS, Bedrock, and SageMaker.
- Experience with AI and agent orchestration frameworks such as Semantic Kernel, LangChain, and LangGraph.
- Familiarity with Hugging Face and foundational AI models.
- Strong understanding of LLMs, prompt engineering, and model fine-tuning techniques.
- Experience with enterprise DevOps practices, CI/CD pipelines, and automated testing.
- Knowledge of application security, observability, AI governance, compliance, and ethical AI frameworks.
- Experience implementing AI security guardrails and deploying secure, scalable AI applications.
- Previous experience delivering technology solutions within the banking or financial services domain.
- Strong communication, stakeholder management, and collaboration skills.
Good to Have
- Experience in fraud detection, customer personalisation, or conversational AI solutions.
- Exposure to enterprise AI transformation initiatives and large-scale AI application deployments.
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 resumes@deliverycentric.com for additional details
Work Location: In person
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