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Iterate

Senior AI Engineer

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Summary

Recruited via Iterate for an unnamed Australian company: a Senior AI Engineer in Melbourne (hybrid, 3 days in office) who designs and ships enterprise-scale generative and agentic AI solutions end-to-end — LLM apps using RAG, prompt engineering and fine-tuning, plus secure APIs/microservices — on a fullstack base of React/TypeScript and an open backend (.NET/Java/Kotlin).

  • Permanent role
  • Melbourne
  • Hybrid (3 days in the office)
We're supporting a successful Australian company in the search for a Senior Software Engineer to work on AI applications. They are investing heavily in enterprise-scale AI and you will join a team leading the charge.

You'll be designing and building enterprise-scale AI solutions that make a real difference both internally and externally, working across generative and agentic AI and helping set the technical direction and standards for a growing team.

Responsibilities will include:
  • Designing, building and owning scalable AI solutions from PoC through to production
  • Collaborating with product managers, software engineers and data scientists to translate business requirements into production-ready AI solutions
  • Contributing to system architecture and technical design decisions for AI-enabled products
  • Developing, evaluating and optimising LLM applications using techniques such as RAG, prompt engineering and fine-tuning
  • Building secure, reliable and high-performing APIs and microservices that support AI capabilities
  • Staying ahead of emerging AI protocols, trends and standards and bringing them into enterprise use
  • Reviewing code, raising the bar on engineering quality and mentoring engineers around you
Skills we are looking for:
  • Fullstack software engineering background with a track record of shipping production-grade systems (open on backend language - .NET, Java, Kotlin etc.)
  • Strong frontend experience with React, Typescript
  • Good understanding of RESTful API design, authentication and secure coding practices
  • Good engineering practices - CI/CD, DevOps, Agile, testing etc.
  • Exposure to AI/ML frameworks or platforms is advantageous
  • Strong problem-solving skills with the ability to translate complex business requirements into scalable technical solutions
  • Excellent communication skills and the ability to collaborate effectively across engineering, product and business teams

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