Senior Software Engineers - Python & AI

We’re looking for multiple

Software Engineers

to join a high-performing engineering team helping shape how AI is used across a major enterprise.

The focus is not on prototypes or experimentation for its own sake. The team is building production AI systems that will change how customers interact with the business, how employees work, and how software is designed and delivered internally.

This is a

software engineering role first , with Python at the centre.

You’ll design, build, deploy and support reliable backend services and AI-enabled workflows, with a strong focus on engineering quality, scalability, reliability and real-world production use.

What you’ll be building

You’ll work across a range of AI-enabled products and services, including:

Customer-facing and internal AI applications

Agentic workflows that interact with APIs, systems and enterprise data

Python backend services and APIs

RAG and enterprise knowledge solutions

MCP integrations and AI-enabled tooling

Headless agents and backend AI services

LLM evaluation and quality frameworks

Enterprise integrations across internal platforms and data sources

CI/CD, containerised deployment and production observability

We’re looking for multiple

Software Engineers

to join a high-performing engineering team helping shape how AI is used across a major enterprise.

The focus is not on prototypes or experimentation for its own sake. The team is building production AI systems that will change how customers interact with the business, how employees work, and how software is designed and delivered internally.

This is a

software engineering role first , with Python at the centre.

You’ll design, build, deploy and support reliable backend services and AI-enabled workflows, with a strong focus on engineering quality, scalability, reliability and real-world production use.

What you’ll be building

You’ll work across a range of AI-enabled products and services, including:

Customer-facing and internal AI applications

Agentic workflows that interact with APIs, systems and enterprise data

Python backend services and APIs

RAG and enterprise knowledge solutions

MCP integrations and AI-enabled tooling

Headless agents and backend AI services

Human-in-the-loop workflows

LLM evaluation and quality frameworks

Enterprise integrations across internal platforms and data sources

CI/CD, containerised deployment and production observability

These are production systems used by real users, so you’ll be involved across the full lifecycle from design and development through to deployment, monitoring and ongoing support.

What we’re looking for

Strong candidates will typically have:

Strong commercial software engineering experience

Recent hands-on backend development, ideally with

Python

Experience designing APIs, services or distributed systems

Strong understanding of testing, reliability, failure handling and production support

Cloud experience across GCP, AWS or Azure

CI/CD, containers and modern software delivery practices

Experience taking systems from initial design through to production

Ability to explain technical decisions, alternatives and trade-offs clearly

Engineers coming from strong Java, Go, C# or TypeScript backgrounds may also be considered where they have solid Python capability.

Production AI experience

We’re particularly interested in engineers who have

personally built AI solutions that made it into production .

Rather than simply having exposure to AI frameworks, you should be able to explain:

What problem the system was solving

What you personally designed and built

Why AI or an agentic approach was appropriate

What tools, APIs or data the system interacted with

How retrieval, grounding or RAG worked where relevant

How you evaluated whether the system was working correctly

How failures, hallucinations or unreliable outputs were handled

Where deterministic logic or human approval was deliberately retained

How the system was monitored and supported in production

Experience with technologies such as

LangGraph, LangChain, Google ADK, MCP and RAG

is relevant, but we’re more interested in

what you have built with them

than simply having them listed on a CV.

The opportunity

This is an opportunity to work on AI at a point where it is becoming core to how a major organisation operates. You’ll help build the platforms, services and engineering patterns that will shape how AI is used across customer products, internal workflows and software delivery over the coming years.

You’ll remain hands-on while contributing to system design, engineering standards and the broader evolution of AI-enabled software across the organisation.

We are looking for both mid-level and senior engineers.

Salary:

$160,000 - $240,000 + bonus (flexible for exceptional people) Location:

Sydney Working model:

3 days per week in the office Candidates currently based interstate will need to be willing to

relocate to Sydney .

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