About the Role
- Are you a seasoned AI engineer with a track record of deploying ML and GenAI features into production? This is your opportunity to join a rapidly scaling SaaS company delivering innovative AI-powered products that are already transforming industries.
- You’ll play a pivotal role in building LLM control systems, designing solutions that ensure AI-generated responses are accurate, reliable, and aligned with real-world expectations. Your focus won’t be on research or experimentation in isolation; this is about impact. You’ll be working on production-grade systems used by thousands of users globally.
- This is a senior-level position where your experience in shipping ML code to production, particularly in SaaS environments, will be highly valued. You’ll join a collaborative and highly skilled engineering team that moves fast and values autonomy, innovation, and ownership.
Key Responsibilities
- Architect and implement control systems for LLMs that ensure consistent, accurate, and contextually aware outputs
- Collaborate closely with product and engineering teams to design, develop, and deploy GenAI-powered features
- Lead experimentation, fine-tuning, prompt engineering, and evaluation strategies for LLMs in production
- Monitor performance, user impact, and reliability of deployed AI features
- Mentor and guide junior engineers and data scientists in production-grade ML practices
What We're Looking For
- Proven experience delivering ML or GenAI features into production within SaaS environments
- Hands-on expertise with LLMs and transformers (e.g., OpenAI, Hugging Face, LangChain, etc.)
- Strong software engineering background, and ability to write clean, production-quality Python or similar code
- Deep understanding of LLM behaviours, hallucination prevention, prompt engineering, and system tuning
- Experience building pipelines and integrating ML systems into modern cloud-native SaaS products
- Strong communication skills and ability to articulate technical decisions and trade-offs
Bonus Points For
- Familiarity with reinforcement learning, vector databases, or RAG architectures
- Exposure to observability and monitoring of ML/AI systems in production
Why Join This Team?
- Work remotely from anywhere in NZ or Australia
- Contribute to real-world AI applications, not just proof of concepts
- Fast-paced, product-led SaaS company with a strong engineering culture
How to Apply
If you’re a Senior AI Engineer ready to ship meaningful AI products at scale, we’d love to hear from you. Apply today and we’ll be in touch if you’re shortlisted.
