Senior AI Engineer - GenAI Architect (Hybrid, Melbourne)

iterate

Melbourne

Hybrid

AUD 140,000 - 210,000

Full time

36 hours ago
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Job summary

iterate in Melbourne is seeking a Senior Software Engineer to design and build enterprise-scale AI applications. The role is hybrid, with 3 days in the office, and focuses on generative and agentic AI, setting the technical direction for a growing team.

You will own end-to-end AI systems from PoC to production, collaborating with product managers, software engineers and data scientists to translate business requirements into production-ready AI solutions and contributing to system architecture

Qualifications

  • Proven track record shipping production-grade systems across frontend and backend.
  • Experience designing scalable APIs and secure coding practices.
  • Exposure to AI/ML frameworks or platforms is a plus.

Responsibilities

  • Designing, building and owning scalable AI solutions from PoC to production.
  • Collaborating with product managers, software engineers and data scientists to translate 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 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.

Skills

Fullstack experience
Frontend React
RESTful APIs
CI/CD & DevOps
AI/ML exposure
Problem solving
Communication

Job description

iterate in Melbourne is seeking a Senior Software Engineer to design and build enterprise-scale AI applications. The role is hybrid, with 3 days in the office, and focuses on generative and agentic AI, setting the technical direction for a growing team.

You will own end-to-end AI systems from PoC to production, collaborating with product managers, software engineers and data scientists to translate business requirements into production-ready AI solutions and contributing to system architecture

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