Intermediate AI Developer

Nuclear Promise X

8h•Hybrid

About The Position

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. Occasional travel may be required for this position.

Requirements

8–15 years of relevant experience in software or AI/ML development.
Strong hands-on experience with Microsoft Azure AI services, including OpenAI, AI Search, Vision, Document Intelligence, and Cosmos DB.
Proven ability to develop and deploy retrieval-based AI solutions using RAG pipelines, knowledge graphs, and related architectures.
Demonstrated skill in rapidly building and iterating AI prototypes based on client requirements.
Strong Python development skills, with experience using Azure’s AI SDK.
Experience designing and implementing AI solution architectures, including agent-based systems and orchestration tools.
Awareness of current and emerging AI/ML research, with the ability to assess production readiness.
Ability to independently structure and label data for AI training pipelines.

Nice To Haves

Exposure to JavaScript/TypeScript or Node.js is considered an asset.
Familiarity with engineering or technical documentation (e.g., schematics, diagrams) is considered an asset.

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).
Apply familiarity with engineering documentation and visuals (e.g., diagrams, schematics) to enhance AI-driven workflows where applicable.