Artificial Intelligence Engineer
Umbrella Club · Sydney, New South Wales, Australia
Apply & track with Apply EdgeWe are seeking an experienced Agentic AI Engineer to design, develop, and deploy scalable, production-ready Generative AI and Agentic AI solutions on AWS. The role will focus on building intelligent AI agents, multi-agent systems, AI assistants, and automated workflows using modern LLM technologies.Key ResponsibilitiesDesign and develop AI agents and multi-agent systems using AWS and modern AI technologies.Build and operationalize solutions using Amazon Bedrock, Bedrock Agents, and AWS AgentCore.Work with Anthropic Claude models and Claude Code to develop AI-powered applications.Design AI workflows involving agent orchestration, planning, memory, and tool calling.Integrate AI solutions with enterprise systems, APIs, databases, and SaaS platforms.Evaluate and optimise AI models for performance, accuracy, latency, and cost.Implement AI guardrails, Responsible AI, security, governance, and observability.Build POCs and scale successful solutions into production environments.Collaborate with architects, engineers, product teams, and business stakeholders to deliver AI transformation initiatives.Key Skills & ExperienceStrong hands-on experience with AWS and Amazon Bedrock.Experience with Bedrock Agents and AWS AgentCore.Strong experience with Anthropic Claude and Claude Code.Strong Python programming skills.Experience with REST APIs and microservices architecture.Experience building autonomous AI agents, multi-agent systems, AI assistants, or AI workflow automation.Strong understanding of LLMs, model orchestration, model routing, evaluation, and optimization.Experience with AWS services including Lambda, API Gateway, S3, DynamoDB, IAM, and CloudWatch.Experience with CI/CD, Infrastructure as Code, GitHub, automated testing, and AI observability.Understanding of AI security, guardrails, Responsible AI, and governance.Proven experience delivering enterprise or production-grade GenAI/Agentic AI solutions.PreferredAWS certifications such as AI Practitioner, Machine Learning Specialty, or Solutions Architect.Experience working with enterprise or regulated environments.Experience with AI coding assistants such as Claude Code or Amazon Q Developer.