AI Software Developer

3 days ago

Charlotte Bay, Australia beBeeSoftware Full time $118,784 - $154,960
Artificial Intelligence Software Engineer

We are seeking a highly skilled and experienced AI software engineer to join our team. As a 100% employee-owned organization, we believe that our associates are the foundation of both our customers' and our success.

About the Role

The AI software engineer will design, build, and deploy lightweight, domain-specific AI tools including embedded LLM agents, retrieval-augmented generation (RAG) systems, and workflow co-pilots. This role focuses on solving practical engineering and operations problems using narrowly scoped GenAI and ML solutions that can run on local or hybrid infrastructure in DOE-compliant environments.

Main Responsibilities
  • Develop and deploy lightweight GenAI agents (e.g., SOP Assistants, Throughput Co-Pilots) using open-source or cloud-hosted models
  • Design retrieval-augmented generation (RAG) pipelines using tools like LangChain, Semantic Kernel, or custom logic
  • Create and manage vector stores for knowledge retrieval using FAISS, Qdrant, or Azure AI Search
  • Work with stakeholders to extract, clean, and embed SOPs, logs, and operational knowledge into AI-ready formats
  • Integrate AI systems with internal tools (SharePoint, Power BI, custom dashboards)
  • Contribute to fine-tuning, prompt engineering, and orchestration of model pipelines
  • Package models and pipelines into secure, containerized apps suitable for offline or GovCloud deploy
  • Document systems, workflows, and compliance touchpoints
Requirements
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  • 3+ years experience in AI/ML, NLP, or data science roles; academic experience is acceptable
  • Experience building or integrating with LLMs (e.g., OpenAI, HuggingFace, LLaMA, etc.); understanding of vector databases and embedding models
  • Knowledge of cloud deployment models (Azure, AWS, GovCloud)
  • Familiarity with containerization (Docker) and edge/on-prem compute
Preferred Qualifications
  • Experience with industrial data sources and IoT data (SCADA/DCS, PLC, or process control)
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, Snowflake)
  • Understanding of machine learning concepts and model deployment

This is a hybrid role requiring three days per week in the office and two days working from home.

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