ABOUT US

NPX was founded on the premise that innovation is the most important key to sustaining the nuclear energy industry. We source, implement, and integrate innovative technologies to make things better at nuclear power plants. We think differently and work differently. We are customer obsessed rather than competitor focused, passionate for innovation, long-term thinking and committed to operational excellence. We are a family, driven by the excitement of building technologies, inventing products, and providing services that change lives and give back to our community.
At NPX we are committed to building a warm, inclusive, and diverse environment. We believe that people do their best work when they feel safe, empowered, and supported.

ROLE OVERVIEW

Are you passionate about building impactful AI solutions that solve real-world problems? Join us in bringing to life a new suite of enterprise-grade products under NPXai-a cutting-edge platform designed to enhance the effectiveness of nuclear professionals. You’ll work at the intersection of AI innovation and engineering excellence, helping streamline complex workflows, eliminate non-value-added tasks, and deliver insights that support critical decision-making in one of the most highly regulated industries. This is your opportunity to shape the future of work in the nuclear sector by creating intelligent, secure, and scalable AI-powered tools.

RESPONSIBILITIES

• Design and develop AI-powered solutions using Microsoft Azure services, including OpenAI, Cognitive Search, Vision, Document Intelligence, and Cosmos DB for vector storage.
• Build and iterate on retrieval-augmented generation (RAG) pipelines and knowledge-grounded architectures, including GraphRAG and emerging techniques like OmniRAG.
• Rapidly prototype AI applications tailored to specific client needs, such as document digitization, data vectorization, and content generation workflows.
• Contribute to the architecture and implementation of advanced AI systems, including agent-based orchestration and integration with modern APIs and platforms.
• Prepare and structure training data, including labeled inputs for both text and image-based models, with a focus on production readiness and model performance.
• Evaluate and adopt new tools and frameworks based on AI/ML advancements, ensuring that implementations are stable and scalable.
• Collaborate across teams to deliver high-impact, cloud-native applications using Python (especially Azure’s AI SDK). Exposure to JavaScript/TypeScript or Node.js is considered an asset.
• Apply familiarity with engineering documentation and visuals (e.g., diagrams, schematics) to enhance AI-driven workflows where applicable.