Sr AI Engineer, SMART MFG & AI

Lead architecture, design, development, deployment, and operationalization of enterprise-grade AI-powered full-stack applications with C#/.NET and modern frontend frameworks.

Own complex technical solutions integrating Generative AI, Agentic AI, cloud-native platforms, data integrations, and secure, scalable APIs for manufacturing and business operational impact.

Provide technical leadership through architecture decisions, mentoring, engineering best practices, and cross-functional collaboration to ensure reliability, security, observability, and production readiness.

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

Minimum 5 years of professional software engineering experience delivering production-grade enterprise applications with full lifecycle ownership.

Advanced proficiency in C#, .NET, ASP.NET Core, and experience in at least one modern frontend framework such as Angular, React, Blazor, or Vue.js.

Hands-on experience integrating AI capabilities (including Generative AI, Large Language Models, and AI agents), strong SQL skills, cloud-native development experience on Azure/GCP/AWS, and knowledge of DevOps tools like Azure DevOps or GitHub Actions.

Experienced in designing and delivering complex AI-powered enterprise solutions combining software engineering, cloud platforms, and data engineering with measurable business impact in manufacturing or related domains.

Demonstrates strong technical ownership and architecture judgement balancing scalability, security, reliability, cost, and maintainability while mentoring mid-level engineers and influencing across distributed teams.

Practically skilled in generative and agentic AI technologies with a focus on responsible AI, operational excellence, security, and continuous improvement in fast-paced, collaborative environments.