Principal - Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal - Software Engineer based in the United States. This is a hands-on principal-level engineering role focused on building the next generation of AI-powered applications for supply chain and operations. You’ll own full-stack development across the software lifecycle, from architecture and implementation through deployment, monitoring, and continuous improvement. A major focus will be embedding AI capabilities such as LLMs, predictive insights, recommendations, conversational interfaces, and agentic workflows into production applications. You’ll also work with knowledge graphs, ontologies, modern cloud platforms, and reusable AI tool interfaces to transform operational data into actionable decision-making solutions. Beyond individual contribution, you’ll help shape technical direction, establish engineering standards, and mentor junior engineers and BI developers. You’ll collaborate closely with technical leaders and business stakeholders to turn ambiguous, high-impact problems into scalable, production-ready products. This remote opportunity is ideal for a highly experienced engineer who enjoys solving complex problems, leading through influence, and balancing hands-on development with technical mentorship. Accountabilities: - Design, build, test, deploy, and maintain full-stack applications and services across the complete software development lifecycle. - Develop responsive front-end experiences and scalable back-end services deployed to cloud environments. - Monitor application performance, errors, latency, and usage while owning alerting, incident response, troubleshooting, and root-cause analysis. - Integrate AI capabilities into production applications, including natural-language queries, predictive insights, recommendations, conversational experiences, and intelligent decision-support features. - Integrate machine-learning models and LLM APIs into applications to enhance operational insights and business outcomes.

- Build agentic workflows capable of triggering actions and updating records while incorporating appropriate human approval and audit logging. - Develop and expose reusable AI capabilities through MCP servers or equivalent tool interfaces that can be accessed by applications and agents. - Use knowledge graphs and ontologies to represent domain knowledge, support semantic search, and enable AI-powered reasoning over connected operational data. - Partner with junior engineers and BI developers to move AI and machine-learning concepts from experimentation into reliable, production-grade capabilities. - Establish and enforce coding standards, design patterns, engineering practices, and quality expectations across the team. - Conduct senior-level code reviews focused on correctness, performance, security, reliability, and maintainability. - Establish and improve CI/CD pipelines, automated testing practices, version-control workflows, and secure-by-default engineering processes. - Build reusable components, templates, and utilities that accelerate application development across the team. - Mentor and coach junior software engineers and BI developers while remaining actively involved in hands-on development. - Translate ambiguous business challenges into clear project plans, technical solutions, and shippable increments. - Lead application projects of moderate to high complexity and influence technical direction across the team. - Partner with BI leadership on application roadmaps and with business stakeholders to define requirements, priorities, and expected outcomes. Requirements: - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field from an accredited university or college. - At least 8 years of hands-on experience building and delivering full-stack applications to production.