Senior Python Engineer - AI & Asset Management

Costa Argirellis - Sydney, New South Wales, Australia; Sydney; On-site; AUD 160,000 - 209,000; Full time

Job summary

Costa Argirellis in Sydney is seeking two Senior Python Engineers to join a high-performing team for a contract opportunity, starting in October. The role focuses on backend design using Python, FastAPI, and AI/LLM capabilities within Asset Management technology.

The position is on-site in Sydney with a daily rate up to AUD 1,000 inclusive of super. Ideal candidates will own systems end-to-end, including deployment and ongoing support, and will have experience with containerisation, AI tooling,

Qualifications

• Strong backend engineering experience with Python and FastAPI or Flask.
• Experience integrating Large Language Models (LLMs) into production apps.
• Hands-on with Agentic AI frameworks, patterns and tooling.
• Deep understanding of AI best practices, including generative AI limitations.
• Proven ability to own end-to-end systems from design to production.

Responsibilities

• Design, develop and maintain scalable backend solutions using Python and FastAPI.
• Build and integrate AI and LLM-powered capabilities into enterprise applications.
• Contribute to architecture decisions and engineering best practices.
• Work with SQL databases and ensure robust data management.
• Develop and support cloud-native, containerised applications.
• Collaborate with stakeholders, technology teams and end users.
• Drive solutions from concept to production support.

Skills

Python

FastAPI

LLMs

AI frameworks

Cloud native

Docker

Kubernetes

SQL

GitHub Actions

Agentic AI

Tools

Docker

Kubernetes

GitHub Actions

Job description

Costa Argirellis in Sydney is seeking two Senior Python Engineers to join a high-performing team for a contract opportunity, starting in October. The role focuses on backend design using Python, FastAPI, and AI/LLM capabilities within Asset Management technology.

The position is on-site in Sydney with a daily rate up to AUD 1,000 inclusive of super. Ideal candidates will own systems end-to-end, including deployment and ongoing support, and will have experience with containerisation, AI tooling,