Data / AI Engineer at Workhoppers — NeverHard

Data / AI Engineer Contract Term: 3 months, highly renewable Work Location: remote work in Canada Key skill - Data, Azure AI Foundry Architect, Agent Development Support To act hand in hand with Foundry Architect + Agent Developer for a project Should be able to understand and provide hands-on support. Should have deep knowledge of: * Microsoft Azure AI Foundry - agent deployment, model endpoints, prompt flow, or custom orchestration * Agentic orchestration frameworks: AutoGen, Semantic Kernel, or LangGraph in Azure ecosystem * Should have developed and deployed agents within Azure and should be aware of dependencies, limitations and assumptions while designing the agentic ecosystem for the client * RAG (Retrieval-Augmented Generation) pipeline design - vector stores, embedding strategies, index refresh * Multi-step agent design: tool use, memory, retries, guardrails, kill-switch patterns Experience with structuring data to make it usable to be consumed by Foundry agents Azure Data Factory, Azure Fabric, and Power BI - pipeline development and data model design Data normalization and schema design for multi-source ingestion (structured + unstructured) RAG infrastructure: document ingestion pipelines, chunking strategies, embedding generation Vector database integration: Azure AI Search, Pinecone, or equivalent Python for data pipeline scripting (pandas, Polars, data cleaning) Azure Lakehouse architecture: Delta Lake, Fabric pipelines, OneLake Data deduplication, quality validation, and lineage tracking Power BI dataset publishing and refresh automation SQL and data modelling for vulnerability/security data domains Azure Event Hub for streaming / real-time data pipelines