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Hybrid metro role with a popular engineering title and broad tech requirements increases applicant competition.
Strong .NET, Azure, and AI integration skills transfer across industries, though fintech domain knowledge helps.
Explicit 7+ years .NET requirement plus Azure and AI expectations creates strict filtering.
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Lead design, development, and implementation of complex AI-enhanced .NET software solutions, including plugins and tools for generative and Agentic AI models.
Provide technical leadership and mentorship to a team, ensuring delivery of high-quality, scalable, and performant software on schedule.
Collaborate across product, design, and QA teams; own key features from concept through production; and improve engineering processes and tools.
7+ years of direct experience with .NET technologies (C#, Microsoft .NET).
2+ years experience in building AI solutions, preferably with generative AI tools and Agentic AI projects.
Proficiency with Azure, Azure DevOps, Agile methodologies, DevOps, and CI/CD practices.
Work Experience Required: 7+ years in software engineering with AI and .NET focus.
Experienced technical leader comfortable owning major software components and guiding junior engineers in a collaborative, team-based environment.
Practical expertise in both frontend and backend application architecture within financial technology or complex software domains.
Familiarity with integrating AI functionalities and exploring innovative AI applications in production-grade financial software solutions.