A pioneer in developing and implementing artificial intelligence solutions

2 days ago

Perth, Western Australia beBeeArtificial Full time $150,000 - $170,000

Job Title: Artificial Intelligence Specialist

We are seeking a talented and motivated Artificial Intelligence Specialist to design, build, and scale real-world applications powered by large language models (LLMs).

You will work closely with domain experts, product managers, and software engineers to transform ideas into prototypes and prototypes into production-ready tools that address meaningful problems using cutting-edge AI.

Key Responsibilities:

  • Collaborate with cross-functional teams to identify high-impact AI use cases benefiting from LLM capabilities.
  • Understand challenges in mining and engineering domains and develop AI solutions to assist.
  • Design and build software applications and APIs leveraging LLMs.
  • Implement prompt engineering strategies and optimisation techniques for specific business tasks.
  • Create autonomous agents capable of planning, reasoning, and executing complex multi-step tasks.
  • Integrate LLM-powered features into new or existing products with strong UX considerations.
  • Develop evaluation frameworks to test LLM output quality, relevance, and safety.
  • Stay updated on LLM advancements and contribute to internal best practices and technical strategy.
  • Write clean, maintainable, and well-documented code.
About the Role:

As an experienced software engineer with a builder's mindset and a passion for AI, you will be excited to turn LLMs into useful products.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • Full working rights for Australia.
  • 3+ years of professional software or ML engineering experience.
  • Strong proficiency in Python (preferred) or TypeScript/JavaScript.
  • Experience integrating APIs, especially LLMs (OpenAI, Hugging Face, etc.).
  • Familiarity with modern backend frameworks (FastAPI, Flask, Node.js).
  • Understanding of prompt engineering and basic model evaluation.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Experience with AI development tools and libraries (LangChain, LlamaIndex, CrewAI, etc.).

Preferred Qualifications:

  • Understanding of embeddings, vector databases, and retrieval-augmented generation (RAG).
  • Experience with front-end frameworks (React, Vue) for building user-facing LLM tools.
  • Experience with MLOps practices such as model versioning, monitoring, evaluation pipelines, and CI/CD.
  • Familiarity with model fine-tuning or training using libraries like Hugging Face Transformers.
  • Knowledge of data privacy and security concerns when deploying AI applications.
About Us:

Our organisation provides engineering and technical expertise to clients worldwide across various sectors.

With over 90 years' combined experience, we offer our clients the engineering and technical expertise they need, whenever and wherever it is needed.

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