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5 дней назад

Agentic AI Engineer (AI)

140 000 - 160 000AUD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Agentic AI Engineer (AI/LLMs): Building and deploying agentic AI systems, LLM-powered applications, RAG pipelines, and integrations that automate complex workflows with an accent on AI agents, model evaluation, and production reliability. Focus on designing tool-using agents, improving model performance, and taking AI solutions from experimentation through deployment and monitoring.

Location: Perth, Western Australia, Australia; hybrid working

Salary: A$140,000–A$160,000 per annum plus superannuation

Company

hirify.global is hiring for a growing technology team focused on building and deploying AI-powered products and solutions.

What you will do

  • Design, build, and deploy agentic AI systems and workflows.
  • Develop LLM-powered applications, AI agents, and knowledge-based solutions.
  • Build RAG pipelines and integrations with APIs, tools, external systems, and existing applications.
  • Experiment with models and approaches, evaluate outputs, and improve reliability.
  • Work with engineering and product teams to move AI concepts into production.
  • Monitor and optimise deployed AI applications while keeping up with developments in the AI ecosystem.

Requirements

  • Approximately three years of software engineering experience with hands-on AI development.
  • Experience building and deploying solutions with LLMs, generative AI, and agentic AI.
  • Strong Python experience.
  • Experience with RAG, prompt engineering, APIs, system integrations, and vector databases.
  • Knowledge of LangChain, LangGraph, or similar frameworks.
  • Experience with cloud platforms, Git, and modern software development practices.

Culture & Benefits

  • Hybrid working based in Perth.
  • Opportunity to build real-world AI products using modern LLM and agentic technologies.
  • Technical environment that encourages experimentation and ownership.
  • Close collaboration with experienced engineers and technical stakeholders.
  • Career growth as AI capabilities expand.

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