Full Stack AI Engineer

What you'll do

• Design, develop, test, deploy, and maintain scalable full-stack applications and platform services.
• Develop and implement custom AI agents for workflow automation, decision support, and multi-step reasoning.
• Integrate LLMs, embeddings, search technologies, and external tools through secure and scalable APIs.
• Build and maintain MCP-based integrations to enable structured communication between AI models and business systems.
• Harden AI components for 24x7 critical manufacturing systems with a focus on reliability, security, and performance.
• Apply AI-assisted development practices to ensure code quality, architectural integrity, and long-term maintainability.
• Translate business requirements into reliable, maintainable, and scalable software solutions.

What we're looking for

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 5+ years of experience developing production grade full stack or backend software applications, including API design and data persistence.
• Hands-on experience with cloud-native technologies, CI/CD pipelines, containerization, and Kubernetes based deployments.
• Experience working with both relational and NoSQL databases, including data modeling and storage architecture design.
• Proven experience designing, developing, and deploying AI-enabled applications, including custom AI agents and RAG-based systems.
• Demonstrated experience with prompt engineering, Vibe Coding Prototypes, AI tool integration, and evaluating AI system reliability and security.
• 7+ years of experience building enterprise-scale distributed applications in cloud environments (preferred).
• Proficiency with C#, ASP.NET, Angular, SQL, NoSQL, and Kubernetes (preferred).