Full-Stack Engineer | .NET, Azure Data & Applied AI
Franklin Fitch · United States
About this role
The candidate will join an Enterprise Architecture team at a US law firm to work on a platform modernization mandate. Responsibilities include building production web applications using C#, .NET, Blazor, React, and TypeScript. The role involves designing ETL pipelines and dimensionally modeled data warehouses on Microsoft Fabric, Azure Data Factory, and Delta Lake. Additionally, the engineer will architect RAG pipelines and AI agents using Azure AI Foundry and Copilot Studio for integration into Teams and Office. The position focuses on building AI governance and agent invocation patterns from scratch rather than maintaining legacy systems.
Skills & technologies
Must have
- C#
- .NET
- Blazor
- React
- TypeScript
- T-SQL
- SQL Server
- RAG
- AI Agents
- Azure Data Factory
- Azure AI Foundry
- Copilot Studio
Nice to have
- Microsoft Fabric
- Delta Lake
- Dataflow Gen2
- Synapse
- Boomi
Read full description
Full-Stack Engineer | .NET, Azure Data & Applied AI
📍 Remote (US)
Most "AI engineer" postings mean prompt-wrapping around someone else's API. This one doesn't.
An established, multi-office US law firm is expanding its Enterprise Architecture team and hiring a senior engineer who can genuinely operate across three disciplines: full-stack application development, enterprise data engineering, and applied AI.
You'll build production web apps in C#, .NET, Blazor, React, and TypeScript. You'll design ETL pipelines and dimensionally modeled data warehouses on Microsoft Fabric, Azure Data Factory, and Delta Lake. And you'll architect RAG pipelines and AI agents in Azure AI Foundry and Copilot Studio, then get them into Teams and Office so people actually use them, not just demo them.
This is a platform modernization mandate, not a legacy maintenance seat. The firm is building AI governance and agent invocation patterns from scratch rather than bolting Copilot onto old workflows.
What you'll need:
- Strong C# and .NET, with hands-on production experience in Blazor or React
- Data engineering with Microsoft technologies; solid T-SQL and SQL Server required
- Ideally hands-on work with Microsoft Fabric, Delta Lake, or Dataflow Gen2
- ETL delivery experience via Azure Data Factory, Synapse, or Boomi
- At least one production RAG pipeline or AI agent you've shipped, not just prototyped
- Comfort explaining technical and AI decisions to non-technical stakeholders
