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Artificial Intelligence Engineer

Hays

Location

Sydney, New South Wales, Australia

Salary

Not specified

Type

contract

Posted

Today

via linkedin

Job Description

Your New Company

This organisation is building a cutting-edge internal AI capability to support its quantitative and advisory teams. The role sits within a broader Data function spanning

Data Engineering, Cloud Platform, and AI Engineering

, with strong backing from senior leadership.

The business is focused on developing

in-house AI products

rather than relying solely on off-the-shelf solutions, with a strong emphasis on long-term capability build.

Your New Role

As an AI Engineer, you will design, build, and deploy

LLM-powered applications

within a cloud-native environment. You will operate as a hands-on builder, contributing to both

AI product development

and the establishment of best practices across

evaluation, safety, and governance

.

This is an excellent opportunity for someone who enjoys working end-to-end on AI solutions and wants to play a key role in shaping an organisation’s internal AI capability.

What You'll Need to Succeed

  • Proven experience as an

AI Engineer working with GenAI / LLM-based solutions

  • Strong track record of

building and deploying AI applications into production

  • Experience in

LLM evaluation, testing frameworks, and performance monitoring

  • Strong

prompt engineering

skills with demonstrated optimisation capability

  • Experience implementing

AI safety, guardrails, or governance controls

  • Exposure to

red teaming, adversarial testing, or jailbreaking techniques

  • Strong experience working with

AWS / cloud environments

  • Proficiency in

Python

and relevant AI/ML frameworks (e.g. LangChain, LlamaIndex)

What You'll Be Doing

  • Building and deploying

internal AI tools

to support enterprise users

  • Designing and maintaining

LLM evaluation frameworks

  • Conducting

model testing, red teaming, and jailbreak analysis

  • Developing and optimising

prompt strategies and reusable libraries

  • Implementing

guardrails for safe and responsible AI usage

  • Collaborating with stakeholders to identify and deliver high-impact AI use cases
  • Working within

AWS

to build scalable, production-ready AI systems

What You'll Get in Return

  • Opportunity to work on

cutting-edge AI initiatives

  • End-to-end ownership of

AI product development

  • Collaborative environment across Data, Cloud, and AI teams
  • Strong investment in

AI capability building

  • Competitive salary and career progression opportunities

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