AI Engineer - Mid to Senior (More roles available at all levels up to $340k base + super + shares)
Hiring across Senior and Staff levels
$150,000 - $240,000+ super + shares
Sydney or Melbourne | Hybrid
Build production AI systems used by enterprise customers across Australia, the UK and Singapore.
This is a hands-on engineering role focused on designing, building and deploying real-world AI applications. The work includes retrieval systems, agent-based workflows, large language models and production integrations across complex enterprise environments.
Projects move quickly from concept to deployment. Engineers are expected to own outcomes, contribute directly to code and help deliver systems that solve genuine business problems.
Why join
Work on production AI systems used by real customers
Build solutions that move from idea to deployment in weeks, not months
Join a highly technical engineering team focused on delivery, quality and shipping
Work directly with modern AI tooling, models and frameworks
Operate in small teams with high ownership and autonomy
Gain exposure to a wide range of industries, technical challenges and business problems
The role
You will work in small teams designing, building and deploying production AI applications for enterprise clients.
The work includes:
Building AI-powered applications and services
Designing retrieval pipelines over structured and unstructured business data
Creating agent-based workflows and orchestration layers
Integrating AI into production systems and operational processes
Building APIs,



backend services and supporting infrastructure
Working directly with stakeholders to translate business problems into practical technical solutions
As seniority increases, ownership expands across architecture, delivery and mentoring.
Simple, production-ready systems are valued over complexity.
What you need
Strong Python development experience
Experience building backend systems, APIs or microservices
Hands-on experience with large language models and modern AI tooling
Experience with retrieval systems, embeddings or vector search
Experience building AI systems used by real users
Cloud experience across AWS, GCP or Azure
Strong engineering fundamentals and the ability to ship working software
Minimum 4+ years of commercial software engineering experience
Comfortable writing and debugging code without relying entirely on coding assistants
Senior +
Strong hands-on engineer
Experience delivering systems end-to-end
Commercial experience building or deploying AI solutions
Comfortable working directly with clients and stakeholders
Own systems and technical direction end-to-end
Make architecture decisions and guide implementation
Strong production experience with AI systems
Mentor engineers and raise technical standards
About the company
My client is a specialist AI consultancy delivering production AI systems for enterprise organisations. The team works at the intersection of software engineering, applied AI and consulting, partnering with clients to solve complex business problems using up-to-date AI technologies.
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