Senior AI Engineer

Python | Applied AI | Architecture | Client Delivery

A$240,000–340,000 base + super + shares

Sydney or Melbourne | Hybrid

Senior Engineer or Tech Lead opportunity

Build and deploy production AI systems for enterprise customers. Own technical decisions, write the code and work directly with clients to solve complex business problems.

We're looking for experienced software engineers who can combine strong Python development with applied AI, architecture and customer delivery. You'll build applications, retrieval systems and agent workflows, integrating AI into the systems businesses use every day.

This opportunity suits someone who enjoys solving difficult engineering problems, working through unclear requirements and staying hands-on as their responsibilities grow.

Why join

- Build production AI systems used by enterprise customers in their day-to-day operations.
- Take ownership of architecture and technical decisions while continuing to write code.
- Work directly with customers across different industries and business problems.
- Join a growing engineering team where you can influence technical direction and delivery practices.
- Progress into a Tech Lead role without moving away from hands-on engineering.

The role

You'll work in small project teams of typically three to six people, taking AI solutions from initial discovery through to production.

- Understand customer workflows, clarify requirements and identify where AI can deliver practical results.
- Build Python applications, APIs, backend services and production integrations.
- Design retrieval pipelines across structured and unstructured business data.
- Develop LLM applications and agent workflows where they solve a clear problem.
- Evaluate system behaviour, investigate failures and improve reliability in production.
- Make architecture decisions, explain technical trade-offs and work closely with customers throughout delivery.

What you need





- Solid software engineering fundamentals and recent hands-on Python development.
- Experience personally designing, building and deploying production software, including practical AI applications.
- Experience with LLMs, retrieval systems or agent-based applications, and an understanding of how to evaluate their behaviour.
- The ability to take an unclear technical problem, work through the requirements and deliver a working solution.
- Confidence working directly with customers and explaining technical decisions to different audiences.
- An active interest in AI, supported by practical work, learning or experimentation.

Experience with backend services, APIs and cloud platforms will be relevant. You should be comfortable explaining, debugging and modifying the code you deliver.

Your current title might be Senior, Lead or Principal Engineer. What matters is your engineering judgement, technical ownership and what you can personally build and ship.

Senior Engineer or Tech Lead

Depending on your experience and performance through the interview process, you may join at Senior Engineer or Tech Lead level.

Tech Leads take greater responsibility for solution architecture, technical direction and guiding other engineers, while remaining directly involved in coding and delivery.

About the company

My client is a specialist AI consultancy building production systems for enterprise organisations.

Engineers operate in a Forward Deployed Engineer model, working directly with customers to understand their business problems, design solutions and deliver working software.

The role is based in Sydney or Melbourne, with up to three days a week in the office and travel of up to two days a month.

How to apply

Send your CV together with a short note describing an AI system you personally helped build and ship in the last 12 to 18 months.

Include what the system did, who used it, and the code and technical decisions you were responsible for.

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