Generative AI Engineer - LLMs, RAG & Agents

Mane; Melbourne; Sur place; AUD 120 000 - 170 000; Plein temps

Résumé du poste

Mane Consulting in Melbourne seeks an experienced AI Engineer to lead internal data analytics projects and deliver measurable impact across the business.

You will design, develop, deploy, and maintain AI systems, applying modern AI engineering practices, from prototyping to production, with a focus on security, reliability, and governance.

Join a pioneering team that embraces responsible AI, MLOps and scalable architectures to enable data-driven decisions.

Qualifications

• 3+ years of AI/ML engineering delivering production systems.
• Strong foundation in AI, ML, statistics and analytics.
• Experience building scalable, production-ready AI applications.
• Practical knowledge of LLMs, prompt engineering, RAG, and AI patterns.
• Ability to design AI architectures integrated with enterprise data platforms.
• Understanding of MLOps/LLMOps, CI/CD, deployment, monitoring.
• Experience with reproducible, scalable data science environments.

Responsabilités

• Design, develop and implement AI/ML solutions aligned to business needs.
• Build and integrate generative AI and LLM-based applications.
• Develop custom AI agents with control flow and state management.
• Build inference, orchestration and integration components with cloud services.
• Implement production-grade AI systems with CI/CD and documentation.
• Design model evaluation for accuracy, robustness, safety.
• Implement AI security, privacy and governance controls.
• Contribute to AI assurance and risk assessment activities.

Connaissances

AI/ML engineering

Production systems

LLMs and generative AI

Data analytics

Outils

CI/CD pipelines

Cloud services (AWS/Azure)

Description du poste

Mane Consulting in Melbourne seeks an experienced AI Engineer to lead internal data analytics projects and deliver measurable impact across the business.

You will design, develop, deploy, and maintain AI systems, applying modern AI engineering practices, from prototyping to production, with a focus on security, reliability, and governance.

Join a pioneering team that embraces responsible AI, MLOps and scalable architectures to enable data-driven decisions.