AI Engineer (Applied LLM & Agent Systems)
Location: Sydney or Melbourne, AU (Hybrid / Flexible)
Compensation: $170,000–$230,000 + Super + Equity
Eligibility: Australian Citizens / Permanent Residents only
About the Company
We're partnered with a high-calibre, stealth-mode AI company building real-world, production AI systems at scale across APAC and Europe.
This is applied AI engineering at depth, designing, deploying, and operating LLM-powered systems that deliver measurable business impact. You will working on Enterprise Level clients throughout only using creativity and your engineering skills to help build the best agentic solutions.
The team is made up of engineers who've shipped serious systems before. The bar is high. The problems are real. The work goes into production quickly.
If you want to move beyond prototypes and build AI that actually operates in live environments, this is the place.
The Role
We're hiring a Mid–Senior AI Engineers to help design and deploy production-grade LLM and agent-based systems.
You'll work across the full AI lifecycle:
System design
Model orchestration
Guardrails & evaluation
Deployment & monitoring
Iteration & optimisation
You won't just build demos.
You'll own meaningful problem spaces and push systems into real-world environments.
This is a highly hands-on engineering role with real ownership, ideal for someone who wants to deepen their applied AI expertise while working alongside top-tier engineers.
What You'll Be Doing
Design and implement LLM-powered applications and agent workflows
Move AI systems from experimentation to reliable production environments
Build scalable backend systems to support AI inference and orchestration
Implement evaluation frameworks, monitoring, and guardrails (prompt injection, hallucination mitigation, etc.)
Collaborate closely with product and engineering to deliver measurable outcomes
Optimise performance, reliability, and cost efficiency of deployed AI systems
Contribute to evolving engineering standards and AI best practices
What We're Looking For
Australian Citizen or Permanent Resident
3–7+ years of software engineering experience
Strong Python skills and experience with modern AI/ML tooling
Hands-on experience building LLM-based systems (RAG, fine-tuning, tool use, agents, etc.)
Experience deploying systems into production (APIs, cloud infra, CI/CD)
Understanding of system design principles and scalable architectures
Strong problem-solving ability and product mindset
Comfortable working in fast-paced, high-ownership environments
Nice to Have
Experience with agent orchestration frameworks
Exposure to vector databases, embeddings, retrieval pipelines
Experience designing guardrails and evaluation pipelines
Knowledge of cloud platforms (AWS, GCP, Azure)
Startup or high-growth environment experience
Strong interest in system reliability and performance optimisation
Interview Process
Talent Screen
Hiring Manager Interview
Technical Interview (System Design + Practical Discussion)
Final Leadership Conversation
You'll be asked:
"Tell us about the most impactful AI system you've built and deployed into production."
Why Join?
Work on frontier AI systems before they reach the market
Build real production AI, not prototypes
High autonomy and minimal bureaucracy
Collaborate with elite global engineers
Competitive salary + meaningful equity
Clear pathway to Senior / Lead as the ANZ team scales
Note: Unfortunately, sponsorship is not available. Applicants must be based in Australia with full working rights.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Staffing and Recruiting