Software Dev Engineer AI Agents, IES LATech

Amazon is hiring a Software Dev Engineer (Product Engineer) to focus on Agentic AI in Australia building the capabilities that let AI agents act reliably on real operator workflows. Youll join a specialist team of Product Engineers Scientists and Developers within Amazons emerging-markets technology organization focused on sustainable growth across Latin America and Australia.

Your customers are operators. Planners ops managers analysts support leads. They make hundreds of small judgement calls a day and your job is to give them agent capabilities that absorb the repetitive ones so they can focus on the calls that actually matter.

In this role you are part builder part product owner. You scope the pain design the mechanism build the prototype instrument the metrics then iterate in production. You build the primitives integrations and mechanisms behind agentic systems integrating large language models with internal data and trading off latency cost and accuracy with judgement not by recipe.

Key job responsibilities
- Review agent runs in production triage operator corrections and determine which are bugs versus signal that the autonomy boundary needs to move.
- Pair with operators on workflows you are scoping. Watch them work ask why behind every step and translate implicit rules into mechanisms the agent can execute.
- Close the feedback gap by ensuring every operator correction becomes a test an eval or a prompt update not lost noise.
- Own the roadmap end to end. Prioritise demo weekly and articulate design choices in writing.
- Partner with operations leaders in each market to identify which workflows are agent-ready and which still need a human in the loop.
- Translate ambiguous operator pain points into concrete measurable mechanisms with clear success criteria.
- Monitor trust score accuracy latency and cost per decision. Dig into regressions before they compound.

- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language

- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Bachelors degree in computer science or equivalent
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution

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