The company was founded in 2017 in Australia, born from a shared passion for technology and a mission to empower accounting practices and auditing firms nationwide by providing seamless, cloud-based workflows.

Roles & Responsibilities: We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.

What you’ll do:

1. Build and optimize document classification & information extraction pipelines
2. Build Agentic AI for FinTech use cases
3. Train/fine-tune NLP models (Transformers/LLMs) for classification tasks
4. Implement LLM + vector DB-based RAG chat systems
5. Apply Computer Vision for document/image-based use cases
6. Deploy scalable ML services in production

What we’re looking for:

1. 3+ years of hands-on ML/NLP/LLM experience
2. Strong Python + ML frameworks (PyTorch, Hugging Face, and the likes)
3. Experience with any vector DBs (Qdrant, Pinecone, Chroma, etc.)
4. Some exposure to Computer Vision/OCR
5. Proactive thinker with a research & innovation mindset
6. Semi-OCR with the quality of work and code

Note: Due to a high volume of applications, only shortlisted and relevant candidates will be contacted.