Data & AI Engineer

Sydney / Hybrid

$160-180k base plus super

Build AI systems. Automate the boring stuff. Work with massive datasets. Ship things people actually use.

Talent Insights is partnered exclusively with a global, data-driven business operating across multiple international markets, with a growing Data Science & GenAI function building the technology behind everything from customer-facing AI agents to automated sales analytics and data products.

We’re looking for a hands-on Data & AI Builder who loves figuring things out, building quickly and turning an idea into something that actually works in production.

This is not a traditional data science role. You won’t be spending your days training custom ML models.

It’s also not an architecture role where you spend your time drawing diagrams.

We want someone who can write the code, build the workflow, integrate the APIs and ship the product.

What you'll be working on The role sits roughly 50/50 between AI/LLM engineering and data engineering , with the balance shifting depending on what's happening across the business.

On the data side, you'll work across up-to-date cloud data infrastructure, pipelines and large-scale datasets.

On the AI side, the focus is predominantly on automation and integration rather than building models from scratch .

Think roughly 70% automation/integration and 30% model-focused work .

You'll be working with technologies such as:

- LLM APIs including Claude, Gemini and VAPI
- n8n and other workflow automation tools
- Databricks and Azure
- Python and SQL
- APIs, webhooks and event-driven workflows
- RAG and prompt engineering
- LLM evaluation
- Modern cloud data platforms

You could be building a Databricks notebook one day and debugging an n8n webhook the next.

Your first big project

One of the first areas you'll likely be embedded in is a Voice of the Customer initiative.

The business processes approximately 60,000 recorded sales calls every day through contact centres across global markets.

That's a huge, largely unstructured dataset with plenty of applications and POCs already underway.

You'll have the opportunity to build tools around that data — from automated analysis and quality assessment through to AI-powered applications that turn conversations into useful business insights.

And that's just one project.





There are also active initiatives across voice AI, automated QA, data infrastructure and AI-powered workflows , so you'll have plenty to get stuck into from day one.

What you'll actually do

GenAI & Automation

- Build and ship AI-powered workflows, agents and automation
- Integrate LLM APIs into real production workflows
- Develop automation using tools such as n8n
- Work with APIs, webhooks and event-driven pipelines
- Prompt, evaluate and iterate LLM-based systems
- Build RAG-style solutions and AI-powered applications
- Integrate voice AI and other third-party AI services

Data Engineering
- Build and maintain data pipelines across multiple markets and data sources
- Work with Databricks, Azure and modern cloud data platforms
- Develop ingestion, transformation and data processing workflows
- Work with large-scale structured and unstructured datasets
- Build reliable, observable and maintainable data systems
- Contribute to the evolution of the underlying data infrastructure

Product & Building
- Build lightweight internal tools and dashboards
- Integrate third-party platforms and services
- Turn rough business requirements into working products
- Prototype quickly and iterate based on what you learn
- Take ownership of problems rather than waiting for someone else to tell you how to solve them

What we're looking for This is a hands-on mid-level role .

You'll get plenty of technical direction from the engineering leads, so we're not looking for someone who wants to spend their time defining enterprise architecture.

We're looking for someone who can independently take a problem and build something useful .

You'll ideally have

- Strong Python and SQL skills
- Commercial experience across data engineering and/or software engineering
- Experience working with modern cloud data platforms
- Experience building data pipelines and integrations
- Exposure to LLMs and GenAI applications
- Experience working with APIs and webhooks




- A good understanding of workflow automation
- Experience with tools such as Databricks, Azure, n8n or similar
- An understanding of prompt engineering, RAG or LLM evaluation
- Enough frontend/product capability to build a functional internal tool when required

You don't need to tick every technology box. We're much more interested in how you think, what you've built and how quickly you can learn .

The kind of person we're looking for

You're probably someone who

Builds things because you're curious.

You've got side projects, experiments, GitHub repos, prototypes or tools you've built because you thought "surely this could be automated."

Uses AI in your day-to-day work.

You're already experimenting with AI-native tooling and looking for ways to make yourself and your team more productive.

Has a bias towards action.

You don't need a 30-page requirements document before you start. You can assess a problem, make a sensible call and start building.

Can work independently.

You'll have technical support around you, but you won't need to be managed closely.

Knows when to ship.

You understand the difference between something that needs more engineering and something that's valuable enough to get into the hands of users and learn from.

Has no ego.

Titles aren't important. Good ideas are. You should be comfortable challenging ideas, receiving feedback and changing your mind when someone has a better approach.

Why this role?

- Work on real production AI , not just experiments and demos
- Work with LLMs, voice AI and automation
- Get hands-on with Databricks and modern data infrastructure
- Work with a genuinely huge dataset — 60,000+ sales calls every day
- Build products and workflows that have a direct business impact
- Work across AI, data engineering, automation and product
- Have genuine ownership from day one
- Work alongside a team that values curiosity, speed and getting things shipped

Show us what you've built We care much more about what you can actually build than what your CV says.

If you've got a GitHub repo, working demo, side project, Loom walkthrough or something you've built because you couldn't stop thinking about the problem - we'd love to see it.

Show us, don't just tell us.

Send your CV to [email protected] or click apply now!

📌 Artificial Intelligence Engineer (Sydney)
🏢 Talent Insights Group
📍 Sydney