Build an AI orchestrator including intent and slot extraction, policy engine, planner, composer LLM, output guardrails and PII redaction. Implement RAG for motor policy Q&A, authenticated claim-status lookup, prompt engineering, and API/tool integrations. Project runs approximately June–July 2026 (~2 months) on a 3-month contract option.
Project Responsibilities
• Phase 1 build of the AI orchestrator — intent & slot extraction, policy engine, planner, composer LLM, output guardrails, PII redaction.
• Basic RAG for motor policy Q&A.
• Authenticated claim-status lookup.
• Prompt engineering. Active June–July 2026 (~2 months; duration rounded up to nearest 3-month option).
Requirements
An AI engineer who has shipped LLM-based assistants with RAG and tool-calling into production, strong on prompt engineering and grounding/guardrails
Must-haves
• LLM / GenAI application development
• Retrieval-augmented generation (RAG)
• Prompt engineering
• API / tool integration
• Python (assumed — confirm)
Nice-to-have
• OCI Generative AI
• Arabic NLP
• Insurance / regulated domain
• Guardrails & PII handling
Benefits
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Sell AI products to complex, high-value accounts, architecting deals that align product value with customer use cases and ensuring customer success.
Top Skills:
Ai Products
Artificial Intelligence • Machine Learning • Robotics • Automation
Design and build BI data models, reports, dashboards, and analytics solutions using Qlik, Tableau, and Power BI. Translate complex operational data into actionable insights, troubleshoot reporting issues, provide BI technical leadership, estimate project work, collaborate with stakeholders, and support migration of an existing data lake to a cloud platform.
Top Skills:
Cloud Data PlatformsData WarehousingETLGitGitGitlabMicrosoft Power BiNoSQLPythonQlikQlikviewScalaTableau
Mobile • Software
Design, implement, and maintain robust Java/Kotlin backend systems. Own full SDLC in an Agile team, build scalable distributed systems with Kafka and Kubernetes, implement CI/CD and Terraform infrastructure, practice TDD, mentor juniors, and collaborate across teams.
Top Skills:
AzureCi/CdDistributed SystemsGitGraphql FederationJavaKafkaKotlinKubernetesTerraform
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
