Key responsibilities
- Build agent workflows and RAG pipelines over finance policies, contracts, trade agreements and regulatory text
- Implement tool-calling into ERP, data platform and reporting APIs, with approval gates for write actions
- Design, version and test prompts, context and memory strategies like code
- Build evaluation suites (accuracy, grounding, safety, regression) and wire them into CI
- Implement guardrails: PII redaction, prompt-injection defence, grounding and citation checks
About you
- 5+ years of software engineering with robust Python, including 1+ year on LLM / agent systems in production
- One or more agent frameworks (LangGraph, Semantic Kernel, AutoGen, CrewAI or similar)
- RAG with a vector or hybrid search store (e.g. Azure AI Search, pgvector, OpenSearch)
- Evaluation tooling (e.g. Ragas, DeepEval, promptfoo), API / cloud fundamentals, Git and CI/CD
- Domain: CPG / FMCG and Finance Transformation
📌 AI Engineer (Sydney)
🏢 RGP
📍 Sydney