Sr AI Engineer, SMART MFG & AI

Lead end-to-end architecture, design, development, deployment, and operational support of enterprise-grade AI-powered full-stack applications.

Own complex technical features and platforms independently, influencing architecture decisions and mentoring junior engineers.

Integrate Generative AI, Agentic AI, cloud-native engineering, data platforms, APIs, and modern frontend/backends to create secure, scalable, and maintainable AI solutions.

Bachelor’s or Master’s degree in Computer Science, IT, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or related technical discipline.

5+ years professional software engineering experience delivering production-grade enterprise applications with ownership from design through production.

Proficiency in C# and .NET (ASP.NET Core), experience with full-stack development using frameworks like Angular, React, Blazor, or Vue.js, and experience integrating AI technologies such as Large Language Models and Retrieval-Augmented Generation.

Experience with cloud platforms (Azure, GCP, AWS), containerization (Docker, Kubernetes/OpenShift), CI/CD pipelines, security practices including authentication and authorization, and production operations including monitoring and incident response.

Demonstrates strong technical ownership with accountability for architecture, delivery quality, operational readiness, and mentoring engineering teams.

Possesses deep expertise in full-stack software development combined with hands-on experience integrating advanced AI technologies (Generative AI, Agentic AI) into enterprise solutions.

Comfortable operating in cross-functional teams to balance scalability, security, reliability, cost, maintainability, and delivery speed while influencing technical direction without formal authority.