Senior AI and Data Engineer

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 productionApply prompt engineering, RAG and vector search, and tool/function calling in a data pipeline or data analysis contextOwn LLM evaluation and observability, and manage inference scalably, reliably and cost-effectivelyContribute to guardrail design and compliance-sensitive flow handling within AutoGrab's AI systems Data Engineering Work across a variety of databases, SQL and data-intensive applications, both stream and batch orientedBuild and maintain data pipelines that serve AutoGrab's product intelligence and analytics use casesWrite 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/GKEWork with infrastructure-as-code (Terraform) and CI/CD pipelines to maintain operational disciplineContribute to system reliability, cost management and observability across production services Collaboration & Communication Work through ambiguity with the team and technical leadership, making trade-offs clearly and setting expectations honestlyCollaborate closely with engineers across backend, data science and product disciplinesContribute 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 roleStrong 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 contextStrong experience with a variety of databases, SQL and data-intensive applications, both stream and batch orientedSolid understanding of LLM evaluation, observability and how to manage inference scalably, reliably and cost-effectivelyExperience deploying and operating LLM-related services on GCP (Vertex AI, Cloud SQL, Cloud Run/GKE), with infrastructure-as-code (Terraform) and CI/CDExcellent communication and collaboration skills, comfortable working through ambiguity, making technical trade-offs and setting expectations honestly with the team and leadership Preferred Experience with LLM fine-tuning or training embedding modelsExperience with LLM for search and search system evaluationFamiliarity with evaluation-driven development for LLM products and guardrail/safety patterns for compliance-sensitive use casesFamiliarity with Helm, ArgoCD or KubernetesExperience 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 AIWork in a small, high-output engineering team where your contribution has direct product impactHands-on, collaborative culture with real exposure to agentic AI systems in productionOffices in Australia, UK and Asia with global expansion under wayCompetitive remuneration and the opportunity to grow with the business