AI Applications Developer

2 weeks ago

Perth, Western Australia beBeeSoftware Full time $120,000 - $200,000
Machine Learning Software Engineer

Brunel is partnering with a leading energy company to deliver top-notch work opportunities for IT and technical professionals in Australia.

We are seeking a talented, curious, and motivated machine learning/software engineer to design, build, and scale real-world applications powered by large language models (LLMs).

Responsibilities:
  • Collaborate with cross-functional teams to identify high-impact AI use cases that benefit from LLM capabilities.
  • Understand mining and engineering domain challenges and develop AI solutions to assist.
  • Design and build software applications using OpenAI GPT, Claude, Mistral, LLaMA.
  • Implement prompt engineering strategies and optimisation techniques for 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 on top of LLM advancements and contribute to internal best practices and technical strategy.
  • Write clean, maintainable, and well-documented code.
About You:

You are a software engineer with a builder's mindset and a passion for AI. You can clearly communicate and present ideas, progress, and results to both technical and non-technical audiences.

Requirements:Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • 3+ years of professional software engineering or ML engineering experience.
  • Strong proficiency in Python (preferred) or TypeScript/JavaScript.
  • Experience integrating APIs, especially LLMs.
  • Familiarity with modern backend frameworks.
  • Understanding of prompt engineering and basic model evaluation.
  • Experience with cloud platforms.
  • Experience with AI development tools and libraries.
Preferred Qualifications:
  • Understanding of embeddings, vector databases, and retrieval-augmented generation.
  • Experience with front-end frameworks for building user-facing LLM tools.
  • MLOps practices such as model versioning, monitoring, evaluation pipelines, and CI/CD.
  • Familiarity with model fine-tuning or training using Hugging Face Transformers.
  • Knowledge of data privacy and security concerns when deploying AI applications.

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