AI Engineer
Posted 9
views
Summary
Hands-on AI engineer (mid to senior) building production AI applications for enterprise clients at a specialist AI consultancy — retrieval pipelines, agent-based workflows, LLM integrations, and backend APIs. Core stack is Python, cloud (AWS/GCP/Azure), and modern AI tooling. Sydney or Melbourne, hybrid; $140k–$340k base + super + shares.
Salary: $140-340k base + super + shares
AI Engineer - Mid to Senior
(More roles available at all levels up to $340k base + super + shares)
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
You will work in small teams designing, building and deploying production AI applications for enterprise clients.
The work includes:
Simple, production-ready systems are valued over complexity.
What you need
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 modern AI technologies.
How to apply
Send your CV together with a short note describing the most significant AI or software system you have personally built or shipped in the last 12 to 18 months.
(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
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
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
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
- 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
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 modern AI technologies.
How to apply
Send your CV together with a short note describing the most significant AI or software system you have personally built or shipped in the last 12 to 18 months.