.Net Web API Senior Developer

TekCommandsPlano, TX

About The Position

Develop and maintain enterprise web applications using ASP.NET/C#, .NET Web API, React JS, Python, and Azure. Design and implement AI/ML and Agentic AI solutions to support software development lifecycle activities including requirements analysis, coding, code reviews, testing, and deployment. Build scalable APIs and backend services to support AI-powered applications and integrations. Develop and deploy AI/ML models in production environments, ensuring scalability, performance, and reliability. Design and implement Retrieval-Augmented Generation (RAG) architectures and integrate AI services into enterprise platforms. Perform prompt engineering, orchestration, model evaluation, and optimization for Generative AI solutions. Collaborate with cross-functional teams to deliver innovative solutions for the financial services domain. Monitor and maintain production AI/ML solutions while ensuring compliance with security, privacy, and governance requirements.

Requirements

  • 6+ years ASP.NET/C# development
  • 6+ years React JS development
  • 3+ years Python development
  • 6+ years Azure platform
  • 6+ years professional software development
  • 3+ years AI/ML engineering
  • 3+ years production AI/ML deployment

Nice To Haves

  • Experience in Financial Domain.
  • Bachelor's degree in CS, ML, Statistics
  • 3+ years at fintech/financial services
  • 3+ years dedicated Azure experience
  • Azure certifications (AZ-102, AZ-305, AZ-204)

Responsibilities

  • Develop and maintain enterprise web applications using ASP.NET/C#, .NET Web API, React JS, Python, and Azure.
  • Design and implement AI/ML and Agentic AI solutions to support software development lifecycle activities including requirements analysis, coding, code reviews, testing, and deployment.
  • Build scalable APIs and backend services to support AI-powered applications and integrations.
  • Develop and deploy AI/ML models in production environments, ensuring scalability, performance, and reliability.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and integrate AI services into enterprise platforms.
  • Perform prompt engineering, orchestration, model evaluation, and optimization for Generative AI solutions.
  • Collaborate with cross-functional teams to deliver innovative solutions for the financial services domain.
  • Monitor and maintain production AI/ML solutions while ensuring compliance with security, privacy, and governance requirements.
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