Full timeTechnology

Agent Core Developer

SimplyAISydney, New South Wales🇦🇺Australia

Why this role stands out

This hybrid role offers a fantastic opportunity to build and deploy cutting-edge agentic AI solutions within a growing Applied AI team, allowing you to directly impact real-world applications. You'll thrive here if you have hands-on AWS AgentCore experience and a passion for bringing AI from concept to production, working closely with client teams to innovate and engineer robust, scalable autonomous systems.

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeHybrid

LocationSydney, New South Wales, Australia

AWSLLMPython

Job description

If AWS AgentCore is something you've genuinely built with, not just read about, I'd love to talk to you.

At simplyai, we're growing our Applied AI capability and looking for a Senior Applied AI Engineer who loves being hands-on and knows what it takes to get agentic AI out of a PoC and into the real world.

This isn't a role where you'll spend your days talking about what AI could do.

You'll be designing, building and productionising it.

You'll work across complex client environments, building autonomous and multi-agent solutions that are secure, observable, reliable and genuinely useful. Our consultants work directly alongside client teams, so you'll have the opportunity to influence the solution while still being close to the engineering.

What we're looking for

The core for us is real hands-on AgentCore experience, supported by strong engineering capability across:

AWS Bedrock AgentCore - Runtime, Gateway and agent SDKs
AWS Bedrock
Strands, LangChain or similar agent frameworks
Production-grade AI agents and multi-agent systems
MCP, A2A and tool integration
RAG, semantic search, knowledge bases and vector databases
Agent evaluation, observability, guardrails and hallucination management
AWS engineering, deployment and Infrastructure as Code
Strong Python / software engineering foundations

We're particularly interested in people who can talk us through something they have personally designed, built and taken into production, including what went wrong, how they evaluated it, how they made it safe and how they knew it was actually working.

The formal brief is looking for 7+ years across software and AI engineering, with substantial LLM and agentic systems experience and a proven record of operating production AI agents at scale.