AI ENGINEER

Location: Perth CBD

Reporting to: Head of Data & AI

About the company

This company is an agri-food business with a growing portfolio of food brands for domestic and international markets, exporting internationally. It is committed to high standards across a vertically integrated food production business spanning its supply chain and operations.

What the role is

This role will design, build and deploy agentic AI systems that drive measurable outcomes across the company’s operations. Working closely with the Head of Data & AI, Apps, IT Infrastructure and operational leaders, this role will lead the development of autonomous AI agents that reduce manual effort, accelerate decision-making and unlock new value across the business.

The AI Engineer will identify high-impact automation and intelligence opportunities across the supply chain, processing and corporate functions, then design and deliver agent-based solutions that act on data, interact with systems and produce real business results. The focus of this role is on shipping solutions to improve the efficiency of how our people perform their day to day work.

This role suits a builder, someone who gets their satisfaction from putting working systems in front of people rather than talking about them. You will move quickly from problem to prototype to production, sit alongside operational teams to find where the real friction is, and keep improving agents once they are live rather than handing them over and walking away. You will be comfortable creating and building within guardrails that enable speed but not at the cost of control.

You will bring:

- A track record of shipping AI systems into production, ideally including agent based workflows.
- Experience with an architecture that lets you deliver rapid without cutting governance corners.
- The confidence to work across both on premise GPU hosted models and cloud environments.





Please note that fortnightly day trips to the company’s production sites will be required as part of this role.

Key responsibilities

- Identify, design and deliver agentic AI solutions that automate workflows, surface insights and reduce manual effort across the company’s operations.
- Work directly with operational and business teams to uncover high-value automation opportunities and translate them into working agent solutions.
- Build and maintain scalable and governable AI solutions that integrate with the company’s data platforms, business systems and APIs to take meaningful actions on behalf of users.
- Move quickly from problem to prototype to production, validating impact early and iterating based on feedback from the business users.
- Monitor agent performance in production, measure business impact and continuously improve reliability, accuracy and scope over time.
- Champion responsible AI practices, ensuring agents operate transparently, within appropriate guardrails, Cyber Security standards and aligned to the company’s values and risk appetite.
- Document solutions clearly and support broader capability uplift so the business understands and trusts the AI tools being built for them.
- Ensure all AI solutions are developed and maintained in a manner that effectively manages and mitigates cyber security risks.
- Work with the Applications team on how to improve current applications used in the business, by either creating integrated capability or complete replacement of existing tools.
- Ensure that new systems are built in a way that can be handed over to the Applications team to further iterate and build upon.

Skills and experience

Qualifications





- Demonstrable experience building and deploying agentic AI or automation solutions that have delivered measurable business impact.
- Degree in Computer Science, Electrical Engineering, Data Science or a related field, or equivalent practical experience.

Essential experience:
- Python and practical experience building AI-powered applications and workflows.
- Experience designing and orchestrating multi-step AI agents that interact with tools, APIs and data sources to complete real tasks.
- Strong understanding of LLM capabilities and limitations, prompt engineering and how to build reliable, production-grade AI behaviour.
- Ability to integrate AI agents with business systems, databases and APIs to enable autonomous action.
- A commercial mindset that is able to identify where AI will create the most value and prioritise accordingly.
- Class C drivers licence (onsite travel to operational sites required).

Desirable:
- Agriculture, food production or industrial/manufacturing environment experience.
- Familiarity with RAG (retrieval-augmented generation) and how to ground AI agents in business-specific knowledge.
- Experience with voice interfaces, chatbots or natural language interfaces as a front-end for AI agents.
- SQL and familiarity with data platforms such as Snowflake or similar.
- Familiarity with a Fivetran / Snowflake / dbt data stack.
- Familiarity with Agile or Design Thinking methodologies.
- Experience deploying and running AI workloads on local compute infrastructure, including familiarity with Azure Local (formerly Azure Stack HCI) or equivalent on-premise AI platforms.
- Experience using AI-assisted development tools (e.g. Vercel, Cursor or similar) to rapidly prototype and deploy lightweight applications.

Please reach out to Rachel, [email protected], for a confidential disucssion.

Perth-based role with full Australian work rights required.

📌 AI Engineer (Perth)
🏢 DR Analytics Recruitment
📍 Perth