Our client, a Tier One Mining organisation located in Perth, is seeking a talented, curious, and motivated Machine Learning Engineer 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 mining and engineering domain challenges and develop AI solutions to assist. Design and build software applications and APIs leveraging LLMs (e.g., OpenAI GPT, Claude, Mistral, LLaMA). 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 You You are a software engineer with a builder’s mindset and a passion for AI. While you may not be a deep learning researcher, you are excited to turn LLMs into useful products. You can clearly communicate and present ideas, progress, and results to both technical and non-technical audiences. 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. What The Client Offers The opportunity to work at the frontier of applied AI. A collaborative and high-trust engineering culture. Flexible work arrangements. Access to powerful compute resources and the latest LLMs. A chance to shape the next generation of intelligent tools. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining, and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we provide our clients with the engineering and technical expertise they need, whenever and wherever it is needed. We support contractors with everything from securing visas and work permits to providing market-leading benefits packages and accommodation, ensuring they can work safely and compliantly to support our clients. J-18808-Ljbffr
