Senior Software Engineer

As a Senior GenAI Developer, your role involves designing, developing, and integrating advanced Generative AI capabilities with security platforms. You will apply data science techniques to enhance decision-making and automation, bridging traditional backend engineering with modern AI/ML and data engineering practices. Your expertise will be utilized to build intelligent, scalable systems including Retrieval-Augmented Generation (RAG) pipelines, predictive models, and autonomous agents using the .NET and/or Python ecosystems. Core Responsibilities: - Assess workflows to identify opportunities for leveraging AI, data science, and predictive modeling in security processes. - Develop intelligent agents and automated content generation capabilities for security workflows. - Enable automation across security processes such as threat analysis, access certification, incident response, and compliance reporting. - Collaborate with cross-functional teams to transform business requirements into robust, AI-driven software solutions. - Integrate intelligent features into applications by combining LLMs, statistical models, and data insights. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance AI accuracy. - Create scalable, secure backend services using .NET and/or Python ecosystems. - Utilize orchestration frameworks like Microsoft Semantic Kernel or Microsoft Agentic for managing complex AI workflows. - Ensure all AI integrations comply with enterprise security, compliance, and governance standards. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 5+ years of experience in .NET development with expert-level proficiency in C#, .NET 8+, and Entity Framework Core. - Hands-on experience with Large Language Models (LLMs), prompt engineering, and model fine-tuning. - Proven experience with Semantic Kernel, OpenAI SDK, and vector stores like Azure AI Search. - Robust knowledge of RESTful API design and database management. - Experience with CI/CD pipelines using GitHub Actions or Azure DevOps, including containerization with Docker and Kubernetes. Preferred: - Experience with Dotnet/Python for AI prototyping or scripting. - Familiarity with building AI Agents and multi-agent systems. - Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate. As a Senior GenAI Developer, your role involves designing, developing, and integrating advanced Generative AI capabilities with security platforms. You will apply data science techniques to enhance decision-making and automation, bridging traditional backend engineering with modern AI/ML and data engineering practices. Your expertise will be utilized to build intelligent, scalable systems including Retrieval-Augmented Generation (RAG) pipelines, predictive models, and autonomous agents using the .NET and/or Python ecosystems. Core Responsibilities: - Assess workflows to identify opportunities for leveraging AI, data science, and predictive modeling in security processes. - Develop intelligent agents and automated content generation capabilities for security workflows. - Enable automation across security processes such as threat analysis, access certification, incident response, and compliance reporting. - Collaborate with cross-functional teams to transform business requirements into robust, AI-driven software solutions. - Integrate intelligent features into applications by combining LLMs, statistical models, and data insights. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance AI accuracy. - Create scalable, secure backend services using .NET and/or Python ecosystems. - Utilize orchestration frameworks like Microsoft Semantic Kernel or Microsoft Agentic for managing complex AI workflows. - Ensure all AI integrations comply with enterprise security, compliance, and governance standards. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 5+ years of experience in .NET development with expert-level proficiency in C#, .NET 8+, and Entity Framework Core. - Hands-on experience with Large Language Models (LLMs), prompt engineering, and model fine-tuning. - Proven experience with Semantic Kernel, OpenAI SDK, and vector stores like Azure AI Search. - Robust knowledge of RESTful API design and database management. - Experience with CI/CD pipelines using GitHub Actions or Azure DevOps, including containerization with Docker and Kubernetes. Preferred: - Experience with Dotnet/Python for AI prototyping or scripting. - Familiarity with building AI Agents and multi-agent systems. - Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate.