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Applied AI Engineer

Hays

Location

Sydney, New South Wales, Australia

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Your new company

Our client is a high-growth, Australian-based organisation operating at the intersection of technology and financial services.

Your new rol

eJoin a growing applied AI team focused on taking AI systems from experimentation into reliable, production environments. You’ll work across the full lifecycle designing, building and deploying AI-driven solutions with a strong focus on scalability, observability, and robustness

.

The role involves developing advanced LLM-based applications, including retrieval and orchestration patterns, working within a modern cloud environment. You’ll contribute to how systems are structured, monitored, and maintained in production, while collaborating closely with engineering, product, and business team

s.You’ll also stay close to emerging approaches in AI, applying new techniques where relevant and contributing to best practices across the tea

**m.

What you'll need to succ**

eedDegree in Computer Science, Data Science, Engineering, or related field or equivalent practical experien

ce.2\+ years' experience in software, data or AI engineering, with exposure to building LLM or agentic systems (production experience a plu

s).Passionate about Agentic AI, understanding agentic design patterns including tool use, planning, reasoning, multi-agent collaboration, memory systems, and autonomous workflow orchestrati

on.Experience with LLMs, AWS Bedrock, AgentCore Runtime, Gateway \& agent SDKs like Strands, LangCha

in.Excellent communication, collaboration and interpersonal skil

ls.Proven ability to deliver in complex environmen

ts.Financial services experience desirab

**le.

What you'll get in re**

  • turnOpportunity to work on cutting-edge AI systems in a production environ
  • mentEnd-to-end ownership across design, build and deploy
  • mentExposure to modern tooling, frameworks and real-world AI use c
  • asesCollaborative, high-performing engineering
  • teamHybrid wor

king

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