Senior Python AI Engineer — Product-Focused, Hybrid Sydney

Novus Recruitment Solutions; Sydney; Hybrid; AUD 190,000 - 230,000; Full time

Benefits offered by this job

Meaningful equity

Learning budget

API credits for experimentation

Job summary

Novus Recruitment Solutions in Sydney is seeking a Senior Python Engineer focused on AI engineering. You will own features end-to-end—from understanding the customer problem to designing agent workflows and shipping to production.

You'll build agent workflows in Python, develop evaluation frameworks, and decide when to use frontier models or fine-tuned models. Collaboration with product, design and customers is key.

The role offers hybrid work, equity, and a learning budget with API credits.

Qualifications

• 5+ years of commercial Python production experience.
• Launched at least one LLM-powered feature used by real end users.
• Ability to measure and decide based on data.
• Product-minded with end-to-end ownership.
• Some frontend experience to contribute across the stack.
• Clear communicator able to explain tradeoffs to non-technical stakeholders.
• Experience at scaling startups, fintech or ERP integration is highly regarded.

Responsibilities

• Design agent workflows in Python, including tool use, retrieval, retries and human handoff.
• Build evaluation frameworks to test prompts and models against real data.
• Decide when to use frontier models, fine-tuned models, or plain code based on cost, latency and accuracy.
• Create review interfaces for customers when human-in-the-loop is needed.
• Interact with customers to understand product gaps and opportunities.

Skills

Python

Frontend basics

Product minded

Communication

AI tooling

Tools

FastAPI

PostgreSQL (pgvector)

Temporal

React

AWS

Job description

Novus Recruitment Solutions in Sydney is seeking a Senior Python Engineer focused on AI engineering. You will own features end-to-end—from understanding the customer problem to designing agent workflows and shipping to production.

You'll build agent workflows in Python, develop evaluation frameworks, and decide when to use frontier models or fine-tuned models. Collaboration with product, design and customers is key.

The role offers hybrid work, equity, and a learning budget with API credits.