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Building Real-World Applications with Artificial Intelligence

2 weeks ago

Albany, Western Australia beBeeExpert Full time $120,000 - $180,000
Artificial Intelligence Expert Wanted

We are seeking an accomplished Artificial Intelligence Expert to design, develop and implement real-world applications powered by large language models (LLMs).

The ideal candidate will have a strong background in software engineering and AI, with the ability to collaborate effectively with cross-functional teams to identify high-impact AI use cases that can benefit from LLM capabilities.

Key Responsibilities:

  • Collaborate with cross-functional teams to identify high-impact AI use cases benefiting from LLM capabilities.
  • Develop AI solutions to assist in understanding and addressing domain-specific challenges.
  • 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 skilled software engineer with a passion for AI and a builder's mindset. 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.

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