QA Automation Engineer

• Build automation solutions end-to-end across the business: integrations, data pipelines, workflow automation, and scripting
• Partner with stakeholders to identify and evaluate automation opportunities, exercising judgment on when AI is the right tool versus when a traditional integration, script, or workflow change will serve better
• Own integrations and data movement between systems, SharePoint, SQL, file shares, documents, including ingestion, transformation, and keeping downstream data fresh
• Build AI features where they add real value: prompt design, RAG pipelines (chunking, embedding, indexing into our vector database), and LLM integrations (OpenAI, Anthropic, and others as we evaluate)
• Collaborate with our C#/.NET and Angular ERP codebase alongside the existing dev team — feature work, bug fixes, code review, the usual full-stack rhythm
• Stand up and maintain containerized services — including self-hosted components like Qdrant for vector storage — running on our Azure platform
• Collaborate with consultants brought in for specialized depth, and absorb knowledge from those engagements so we can reduce consulting spend over time
• Prototype quickly to validate automation ideas before committing to full builds

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Automation Engineer