> Markdown version of [/jobs/ext/3700968-national-grid-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3700968-national-grid-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # National Grid - AI Engineer - **Company:** Kforce Inc. - **Location:** Armonk, NY, United States (Remote available) - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Integration, Python (Programming Language), MongoDB, Redis, OpenAI, Next.js, Software Deployment, TypeScript, Enterprise Search, ReactJS, Retrieval-Augmented Generation, Large Language Models, Generative AI, Git, AI Platforms, LangSmith, Cosmos DB, Front End Software Development, Api Design, Api Management - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/7cf2a5eb-6e15-4ff3-8b0e-67b5d8f2f5ca ## About the Role * Demonstrated experience delivering production AI/LLM applications, particularly agentic workflows and RAG systems * Experienced in building secure, permission-aware enterprise integrations and using Git and CI/CD practices * Produces clear technical documentation and handovers, and can explain architecture and trade-offs to nontechnical stakeholders * Microsoft Azure experience is preferred; Energy or utilities experience is a plus; Able to contribute to end-to-end feature delivery as part of a cross-functional team, including data integration and production deployment Core skills include: * Python and asynchronous API development, LangChain/LangGraph/LangSmith agent orchestration, Azure OpenAI, Azure AI Search, RAG, embeddings, and secure enterprise integrations such as the Microsoft Graph * Frontend experience with Next.js, React, and TypeScript is nice to have, as are Cosmos DB/MongoDB and Redis ## Description Kforce has a client that is seeking a National Grid - AI Engineer in Armonk, NY. Duties: * Build and improve enterprise AI capabilities, including agent workflows, retrieval-augmented generation (RAG), and API integrations * Collaborate with business stakeholders and engineering to deliver reliable, secure, production-ready solutions across enterprise AI services and applications Timeline: * Target start: November 2, 2026, or the earliest practical date after selection, onboarding, and access approval * Expected duration: Six months initially; Any extension subject to funding and delivery needs