Python Engineer - AI

IMC B.V.; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

IMC Sydney is seeking a software engineer to build scalable Python applications and agentic workflows that support our trading operations. You will work closely with business teams to turn requirements into automated solutions.

You will ship real tooling with LLMs, participate in testing and CI/CD, and take ownership from design through production. The role offers impact across a fast-moving, research-driven trading firm.

Qualifications

• 3+ years of professional software engineering experience with a strong focus on Python.
• Experience shipping real tooling with LLMs or agentic capabilities.
• Experience with automated testing and CI/CD pipelines.
• Strong communication skills and ability to work with cross-functional teams and non-technical stakeholders.
• Prior knowledge of financial markets not required but curiosity essential.

Responsibilities

• Develop, test, deploy, and maintain high-performance Python applications.
• Build agentic workflows that perform first-pass analysis for business teams.
• Design agents that assemble data, identify causes, and present findings for SME review.
• Take ownership of end-to-end development from requirements gathering to production deployment.
• Use agentic tools to move faster while maintaining production quality.
• Apply strong automated testing practices and frequent deployment for incremental value.
• Balance latency, throughput, simplicity, scalability, and maintainability in a complex tech stack.

Skills

Python

LLMs / agentic tooling

Automated testing

CI/CD pipelines

Cross-functional communication

Job description

Our Sydney Business Operations Engineering team creates scalable, business-critical applications and tools that automate and support teams across IMC. They gather requirements and feedback from a wide range of internal stakeholders and turn them into creative automation solutions built on modern engineering practices.

As the team grows the number of processes it runs and the range of stakeholders it supports, we are investing heavily in how we scale by using agentic coding to accelerate development, and building AI into the automation itself so that analysis which has always been manual can start with a machine-generated first pass. You would join a small team with real ownership and a direct line to the people who use what you build.

Your core responsibilities:

• Develop, test, deploy, and maintain high-performance Python applications.
• Build agentic workflows that perform first-pass analysis, so our business teams start from a considered position rather than a blank page
• Design agents that work through a problem end to end - assembling the relevant data, identifying likely causes, and presenting something a subject-matter expert can interrogate
• Take ownership of end-to-end development, from requirements gathering through to production deployment
• Use agentic coding tools to move faster, while holding a high bar for what goes into production
• Apply strong automated testing practices and frequent deployment to deliver incremental value
• Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.

Your skills and experience:

• 3+ years of professional software engineering experience, with a strong focus on Python
• You have shipped something real with LLMs or agentic tooling - an agent, a workflow, an internal tool - and can talk about where it worked, where it did not, and what you would do differently
• Experience with automated testing and CI/CD pipelines Strong communication skills and the ability to work with cross-functional teams and non-technical stakeholders
• Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.