Senior AI Engineer
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)
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
- 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