Senior Python Engineer

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

Senior Python Engineer | AI Engineering | Product Focused | Sydney

About the company

A fast growing, Series B AI scale up building AI agents that automate complex finance workflows for mid market and enterprise customers across Australia and the UK. AI is the product, not a feature bolted on, and their platform already processes over a million documents a month.

They have strong revenue growth, a highly technical founding team who still write code, and a small engineering team where every engineer has real ownership over what gets built.

The role

This is a product focused AI engineering role. You'll own features end to end, from understanding the customer problem through to designing agent workflows, shipping to production and measuring whether they actually work. You'll work closely with product, design and customers, and help shape the roadmap.

What you'll work on

• Designing and building agent workflows in Python, including tool use, retrieval, retries and human handoff
• Building evaluation frameworks so prompt and model changes are tested against real data before release
• Deciding when a problem needs a frontier model, a smaller fine tuned model or plain code, based on cost, latency and accuracy
• Building the review interfaces customers use when the agent needs a human in the loop
• Talking directly to customers to understand where the product falls short

Python, FastAPI, Postgres with pgvector, Temporal, React and AWS, using frontier LLMs via API alongside smaller fine tuned models. You don't need experience across all of it. How you think and how quickly you learn matter more.

About you

• 5+ years commercial experience writing production Python, ideally in a product company
• Have built and shipped at least one LLM powered feature used by real end users
• Measure before you trust: comfortable writing evals and using data to make decisions
• Product minded, comfortable owning work from scoping through to production
• Enough frontend experience to contribute across the stack when needed
• Clear communicator who can explain technical tradeoffs to non technical people
• Experience at a scaling startup is highly regarded, as is fintech or ERP integration experience

What's on offer

• $190k to $230k + super depending on experience
• Meaningful equity
• Hybrid, 3 days a week in an inner Sydney office
• Learning budget and generous API credits for experimentation
• A short, practical interview process with no LeetCode