Agentic AI Engineer

RoZetta Technology; Sydney; On-site; AUD 120,000 - 190,000; Full time

Job summary

RoZetta Technology is seeking an engineer to design the AI agent-enabled data infrastructure for global financial markets. You will orchestrate AI coding agents, define agent skills, context and tools, and establish architecture principles including modular design and domain-driven contracts.

You will build tests and evals to ensure fast, safe agent iteration, with tracing and cost tracking from day one. Pairing with Forward Deployed Engineers, you’ll translate client work into reusable platform

Qualifications

• Shipped production software substantially built by AI agents and can describe guardrails and failure points.
• Strong systems thinking: map unfamiliar systems, data flows, boundaries and trade-offs.
• A real testing discipline with evidence of catching agent errors.

Responsibilities

• Deliver end-to-end features by coordinating AI coding agents and teams.
• Design and maintain agent skills, context, tools and MCPs.
• Characterise systems: boundaries, data flows, invariants and failure modes.
• Set architecture principles: modular design, clear contracts, domain-driven design.
• Build tests and evals to keep speed safe and CI as gatekeeper.
• Add AI features with evals, tracing and cost awareness from day one.
• Collaborate with Forward Deployed Engineers to turn client solutions into reusable platform capabilities.
• Pair, review and share what works to shift the team.

Skills

AI systems thinking

Shipped production AI

Testing discipline

Ownership

Tools

Langfuse

Job description

We build AI-native data infrastructure and intelligence products that help financial institutions, global exchanges and data vendors modernise their data, streamline operations and launch new data products faster.

The Role

At RoZetta, AI agents write most of our code. We are looking for an engineer to design the system those agents work in: the skills, the architecture, the tests and the evals that turn agent output into production software for global financial markets.

What you will do:

• Deliver features end to end by orchestrating teams of AI coding agents: orchestrators, parallel workers, reviewers and evaluators.
• Design and maintain the agent skills, context, tools and MCPs that every engineer and agent on the team uses.
• Characterise systems before you change them: boundaries, data flows, invariants and failure modes.
• Set the architecture principles and design patterns our agent teams follow: modular design, clear contracts, domain-driven design.
• Build the tests and evals that let agents move fast safely, and make CI the gatekeeper.
• Build AI features into our products, with evals, tracing and cost measured from day one.
• Work with our Forward Deployed Engineers to turn client solutions into reusable platform capability.
• Help the team make the shift by pairing, reviewing and sharing what works.

You are a good fit if you have:

• Shipped production software substantially built by AI agents, and can show us the workflow, the guardrails and where it breaks.
• Strong systems thinking: you can map an unfamiliar system (its boundaries, data flows and failure modes) and explain what you would change and why. You have owned system architecture: modular systems, contracts and trade-offs.
• A real testing discipline. Your tests have caught what agents got wrong.
• A habit of starting things nobody asked for, and finishing them.

Nice to have

• Designed agent skills, prompts or tooling that other engineers use
• LLM evals and tracing for AI features using Langfuse
• Security for agents working near sensitive data
• Financial markets or financial data
• Work agent-first, on a platform designed for it.
• Real ownership. Your patterns become how the whole team builds.
• Hard, interesting problems in global financial data.