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Sr .Net Azure AI Platform Engineer

Job in Kankakee, Kankakee County, Illinois, 60901, USA
Listing for: Software Technology, Inc.
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Azure, Cloud Engineer - Software
Job Description & How to Apply Below

Full Stack Engineer

We are looking for a strong hands-on full stack engineer with deep C#/.NET experience, modern front-end development experience with Next.js (or React), and a solid background building production applications on Azure. In addition to the core software engineering skills, we need someone who has real-world experience building AI assistants, chat experiences, RAG-based workflows, and other application-level GenAI features within production software.

They want someone to help design and implement AI-powered automation, intelligent workflows, and scalable cloud-native solutions that improve operational efficiency and support a rapidly growing global business. We are looking for engineers who have successfully implemented real-world AI and automation solutions that delivered measurable business value. They are migrating its internally built ERP platform (“Navigate”) from a legacy  monolith to a cloud-native Azure ecosystem using microservices and microfront end architecture.

They want Builders, Practical problem solvers, and engineers who can translate business pain points into AI/automation solutions. They need someone who understands enterprise systems, can modernize workflows, automate business operations, and has implemented real-world AI use cases. Should have experience with:
Azure cloud migration,  and SQL Server environments, Microservices architecture, Microfront ends, Docker, CI/CD with Octopus, Git Hub Copilot, Cosmos DB, and Data Lakes. Strong experience within Microsoft Azure ecosystems. Experience implementing practical AI, automation, or GenAI solutions in enterprise environments. Design and implement AI-driven automation solutions within Azure environments. Partner with business and technology teams to identify operational inefficiencies and recommend intelligent solutions.

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