AutoGrab is on a mission to reshape the automotive industry with data-driven, intelligent technology. Backed by leading investors and trusted by major OEMs, marketplaces, and dealer groups, we’re building the infrastructure powering the future of vehicle trading.

We’ve been recognised in the AFR Fast Starters, LinkedIn's top 25 Start ups and Deloitte Tech Fast 50 lists, reflecting our rapid growth, strong market demand, and relentless pursuit of innovation.

The role

This is a senior engineering role at the intersection of agentic AI and data. You will work within AutoGrab's engineering team, reporting to the Tech Lead - Backend Engineering, to build and operate LLM-driven data applications and agentic workflows that sit at the core of our product intelligence.

We are looking for someone who is genuinely cross-disciplinary, equally at home in the data pipeline context as in the agentic LLM space. You will bring strong applied experience in building production agentic systems, combined with deep data engineering fundamentals across SQL, databases and data-intensive applications.

This is a hands on engineering role. You will write production code, shape technical decisions and contribute meaningfully to a small, high output team that moves quickly and values quality.

Key Responsibilities

Agentic LLM Engineering

- Design, build and operate agentic LLM workflows and data applications in production
- Apply prompt engineering, RAG and vector search, and tool/function calling in a data pipeline or data analysis context
- Own LLM evaluation and observability, and manage inference scalably,



reliably and cost-effectively
- Contribute to guardrail design and compliance-sensitive flow handling within AutoGrab's AI systems
- Work across a variety of databases, SQL and data-intensive applications, both stream and batch oriented
- Build and maintain data pipelines that serve AutoGrab's product intelligence and analytics use cases
- Write well-structured, tested, production-quality code across Python and associated data tooling

Infrastructure & Operations

- Deploy and operate LLM-related services on GCP, including Vertex AI, Cloud SQL and Cloud Run/GKE
- Work with infrastructure-as-code (Terraform) and CI/CD pipelines to maintain operational discipline
- Contribute to system reliability, cost management and observability across production services
- Work through ambiguity with the team and technical leadership, making trade-offs clearly and setting expectations honestly
- Collaborate closely with engineers across backend, data science and product disciplines
- Contribute to engineering discipline: code review, testing standards and technical documentation

About You

Required

- Genuinely cross-disciplinary across agentic LLM-driven and data applications,



this is the core of the role
- Strong applied experience building agentic LLM workflow systems in production: prompt engineering, RAG, vector search and tool/function calling, ideally in a data pipeline or data analysis context
- Solid experience with a variety of databases, SQL and data-intensive applications, both stream and batch oriented
- Solid understanding of LLM evaluation, observability and how to manage inference scalably, reliably and cost-effectively
- Experience deploying and operating LLM-related services on GCP (Vertex AI, Cloud SQL, Cloud Run/GKE), with infrastructure-as-code (Terraform) and CI/CD
- Excellent communication … etc

Preferred

- Experience with LLM fine-tuning or training embedding models
- Experience with LLM for search and search system evaluation
- Familiarity with evaluation-driven development for LLM products and guardrail/safety patterns for compliance-sensitive use cases
- Familiarity with Helm, ArgoCD or Kubernetes
- Experience with Python data science and data analysis tools

Why AutoGrab

- Join a high-growth technology company building something genuinely novel at the intersection of automotive data and AI
- Work in a small, high-output engineering team where your contribution has direct product impact
- Hands-on, collaborative culture with real exposure to agentic AI systems in production
- Offices in Australia, UK and Asia with global expansion under way
- Competitive remuneration and the opportunity to grow with the business

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📌 Senior AI & Data Engineer (Williamstown)
🏢 AutoGrab
📍 Williamstown