Fullstack - Agentic Ai Engineer

Dws; New South Wales; On-site; AUD 120,000 - 180,000; Full time

Job summary

Dws is seeking a Full stack Agentic AI engineer in NSW, Australia to deliver Gen AI solutions at enterprise scale, with focus on security and observability. You will build and deploy agent-based architectures using Python and Next.js, and collaborate across teams.

The role requires deep knowledge of cloud AI tools (AWS, SageMaker, Bedrock), LangChain/LangGraph, and CI/CD practices, plus ability to navigate governance and risk in financial services.

Qualifications

• Experience delivering Gen AI in enterprise environments.
• Banking/domain experience in AI is a plus.
• Excellent communication with stakeholders and governance awareness.

Skills

Python

Next.js

Full-stack dev

Automated tests

CI/CD

DevOps

Security

Observability

Stakeholder comms

Gen AI deployment

Tools

AWS Cloud

EKS / ECS

Bedrock

Semantic Kernel

LangChain

LangGraph

HuggingFace

SageMaker

Job description

Full stack Agentic AI

AI+Cloud:

• 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 (including NextJS), 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.