We are seeking a technically strong Lead Software Engineer to spearhead the development of next‑generation AI products within our Applications & GovCon division. The role blends deep .NET and React.js experience with a passion for emerging technologies such as generative AI, Vibe coding, and modern DevOps practices. You will mentor a cross‑functional team, drive architectural decisions, and deliver scalable, secure solutions that power our enterprise contract management platform. • Define and own the technical architecture for AI‑enabled .NET and React applications. • Lead a team of engineers through full software development lifecycle, from design to production. • Collaborate with product, data science, and UX teams to translate AI concepts into usable features. • Implement best practices for code quality, testing, CI/CD, and security. • Mentor junior developers and promote continuous learning of new frameworks and tools. • Evaluate and integrate emerging technologies such as generative AI models and Vibe coding. • Drive performance optimization for both backend services and front‑end interfaces. • Ensure compliance with enterprise standards and GovCon regulatory requirements. • Participate in code reviews, technical workshops, and architecture forums. • Contribute to the product roadmap by providing technical insights and feasibility assessments. • 7+ years of professional software development experience, with at least 3 years in a lead role. • Strong expertise in C#/.NET Core and building RESTful APIs. • Proficient in React.js, modern JavaScript/TypeScript, and front‑end architecture. • Hands‑on experience with AI/ML integration, preferably generative AI models. • Familiarity with Vibe coding, containerization (Docker/Kubernetes), and cloud platforms (Azure/AWS). • Solid understanding of software design patterns, microservices, and event‑driven architectures. • Experience with CI/CD pipelines, automated testing, and DevOps best practices. • Excellent problem‑solving skills and ability to make data‑driven technical decisions. • Strong communication and leadership abilities, capable of mentoring diverse teams. • Bachelor’s or higher degree in Computer Science, Engineering, or related field.