Artificial Intelligence (AI) Engineer
Responsibilities:
• Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms.
• Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases.
• Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions.
• Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing.
• Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models.
• Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes.
• Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions.
• Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks.
• Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
Qualifications:
• At least 5 years of experience in backend or full-stack software engineering, with substantial depth in backend development.• Demonstrated success building production-grade AI solutions, including autonomous or agent-based workflows rather than only integrating third-party tools.
• Hands-on experience with Claude or a similar large language model in real-world enterprise applications.
• Strong programming skills in C# and .NET within Visual Studio; Python experience in mixed .NET environments is also valuable.
• Advanced knowledge of relational databases, preferably Microsoft SQL Server, including data modeling and procedural database logic.
• Experience using Entity Framework to implement and modernize database-driven application logic.
• Proven ability to design and build APIs, backend services, and automation pipelines that support scalable data operations.
• Familiarity with Azure DevOps and contemporary software delivery practices in collaborative engineering environments.
Compensation
$79.16-$87.00 HourlyAbout Us
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