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Senior, niche ML/LLM production skills but metro location and generic engineer title increase applicant density modestly.
Requires domain-specific LLM, agentic AI, and .NET production experience, limiting cross-industry transferability.
Explicit 10+ years plus mandatory C#/.NET, LLM/agent experience and cloud/Kubernetes makes filters strict.
Lead end-to-end delivery of AI-driven software solutions including architecture, implementation, launch, and ongoing improvement.
Own modernization of legacy systems, design and build scalable microservices, and integrate AI capabilities like LLMs, agentic AI, and workflow orchestration.
Provide technical leadership by coordinating projects, influencing architecture across teams, mentoring engineers, and driving stakeholder alignment.
10+ years of professional software development experience with a proven record of delivering large, complex systems.
Expert-level proficiency in C# and .NET (including ASP.NET Core, modern .NET).
Hands-on experience with AI systems involving LLMs, agentic AI architectures, AI workflow orchestration, and integrating AI with APIs/datastores.
Bachelor’s degree in computer science or equivalent practical experience.
Senior technologist with demonstrated ability to lead complex AI-driven software initiatives independently and align multiple stakeholders.
Experience in modern cloud-native microservices architecture, balancing speed, reliability, and maintainability.
Strong mentor and leader capable of raising technical standards and guiding teams in AI-assisted development and modern engineering practices.