Delivery Consultant: Agentic AI Fullstack Sde, Aws Professional Services

Amazon Amazon · Big Tech · VIC, Australia +1 · Software Development

Full-stack Software Development Engineer role focused on building end-to-end applications powered by Generative AI and agentic systems for AWS customers. The role involves architecting and delivering cloud-native solutions on AWS, with a strong emphasis on designing and implementing AI agent architectures, RAG pipelines, and LLM-backed features using services like Amazon Bedrock. The engineer will also leverage AI-powered development tools and agentic workflows in their daily tasks.

What you'd actually do

  1. Deliver Software with Customers: Work hands-on alongside customer engineering teams to translate business requirements into working software. Architect and ship cloud-native solutions on AWS, modernize existing applications, and build distributed, event-driven systems.
  2. Build Full-Stack Applications: Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java) end-to-end, deploying on AWS with Infrastructure as Code and CI/CD pipelines.
  3. Engineer GenAI Solutions: Build applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock. Apply prompt engineering, grounding, evaluation, and guardrail techniques to deliver accurate, secure, and cost-effective outcomes.
  4. Design Agentic Systems: Design and implement AI agent architectures and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks to automate meaningful customer workflows.
  5. Build the Agentic Way: Use AI-powered coding assistants and agentic IDEs as part of your daily workflow, and champion these methodologies to accelerate coding, testing, code review, and delivery for your team and your customers.

Skills

Required

  • Full-stack development (frontend and backend)
  • Cloud-native solutions on AWS
  • Generative AI concepts
  • RAG pipelines
  • LLM-backed features
  • Prompt engineering
  • Guardrail techniques
  • AI agent architectures
  • Multi-agent systems
  • Orchestration frameworks
  • AI-powered coding assistants
  • Agentic IDEs

Nice to have

  • React
  • Next.js
  • Vue
  • Python
  • TypeScript
  • Java
  • Infrastructure as Code
  • CI/CD pipelines
  • Amazon Bedrock
  • MCP
  • A2A

What the JD emphasized

  • Agentic AI FullStack SDE
  • Generative AI
  • agentic systems
  • AWS services
  • Amazon Bedrock
  • full-stack
  • end-to-end

Other signals

  • customer-facing
  • full-stack
  • generative AI
  • agentic systems
  • AWS services