Software Innovation Leader

1 week ago


Adelaide, South Australia beBeeIntegration Full time $120,000 - $140,000
Job Title: Senior Software Engineer- AI

This is a senior-level position in our team focused on designing and deploying cutting-edge AI solutions across the restaurant management and POS platform.

Our cloud-native platform simplifies operations, enhances customer experience, and powers decision-making for food and beverage businesses. We are integrating AI and Large Language Models (LLMs) to deliver smarter, faster, and more intuitive solutions for restaurant owners, managers, and staff.

We are looking for an AI & LLM Integration Specialist to help us design and deploy AI features making our platform the most intelligent and future-ready restaurant tech ecosystem.

Key Responsibilities:
  • Design and implement LLM-driven features to enhance our products (e.g., smart reporting, predictive ordering, conversational support, intelligent menu recommendations).
  • Integrate LLMs into POS workflows, analytics dashboards, and customer-facing applications.
  • Build and maintain APIs and middleware to connect AI models with our ASP.NET Core & EF Core backend and TypeScript-based frontend (SolidJs).
  • Develop RAG pipelines with vector databases to deliver context-aware insights from restaurant data.
  • Optimize LLM usage with prompt engineering, embeddings, and fine-tuning to reduce cost and improve performance.
  • Ensure reliability, scalability, and security of AI-powered features in production.
  • Collaborate closely with product, design, and engineering teams to bring AI-first experiences to life.
  • Monitor AI features post-deployment, addressing issues like hallucinations, latency, and data compliance.
Qualifications:
  • Bachelor's/Master's degree in Computer Science, Software Engineering, AI/ML, or related field.
  • Strong programming experience in C# (ASP.NET Core, EF Core), TypeScript.
  • Proven experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.).
  • Solid knowledge of vector databases and retrieval-augmented generation (RAG).
  • Strong understanding of API design, microservices, and cloud platforms.
  • Practical experience with NLP, embeddings, and machine learning pipelines.


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