Delivery Consultant: Agentic AI Fullstack Sde, Aws Professional Services

Amazon Amazon · Big Tech · Perth, WA, Australia · Software Development

Full-stack Software Development Engineer role focused on building end-to-end applications powered by Generative AI and Agentic systems within AWS Professional Services. The role involves working directly with customers to deliver innovative solutions using AWS services like Amazon Bedrock, applying prompt engineering, RAG, and agent orchestration. The candidate will also leverage AI-powered development tools in their daily workflow.

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 software engineering
  • Generative AI
  • Cloud architecture expertise
  • Software development
  • Agentic tools and services
  • Prompt engineering
  • RAG pipelines
  • LLM-backed features
  • Conversational interfaces
  • Guardrail techniques
  • Agent architectures
  • Multi-agent systems
  • AI-powered coding assistants
  • Agentic IDEs
  • React
  • Next.js
  • Vue
  • Python
  • TypeScript
  • Java
  • AWS services

Nice to have

  • Experience with MCP, A2A protocols
  • Experience with orchestration frameworks

What the JD emphasized

  • Agentic AI
  • Generative AI
  • FullStack SDE
  • AWS Professional Services
  • Amazon Bedrock
  • agent architectures
  • multi-agent systems
  • AI-powered coding assistants
  • agentic IDEs

Other signals

  • Agentic AI
  • Generative AI
  • FullStack SDE
  • AWS Professional Services
  • Amazon Bedrock