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Post a JobAs a Product Engineer on the Agentic AI Pod, you will build and ship the next generation of AI-powered marketing features for event marketers. This role involves prototyping and developing production-ready conversational interfaces and autonomous agents that help users accomplish complex tasks through natural language. You will work across the stack, primarily with React and Typescript, to create user-facing workflows that leverage Hive's unique data and tools.
This is a full-stack engineering role focused on designing and building intelligent software agents using Large Language Models (LLMs). The engineer will develop production-grade agentic applications and implement MCP (Model Context Protocol) servers for context management. The work spans both backend infrastructure and frontend interfaces to power scalable, context-aware AI systems.
As an Agentic AI Engineer, you will collaborate with scientists to build and deploy AI agents that automate and optimize complex workflows for critical national missions. Your responsibilities will include writing software for agent communication, integrating APIs, testing, debugging, and deploying systems in various environments. This role involves both R&D and customer-facing projects, utilizing a mix of open-source and proprietary AI models to create trusted and impactful solutions.
As a Senior Product Manager for AI Special Projects, you will lead the exploration, development, and launch of an entirely new AI-powered product line. This is an entrepreneurial, "zero to one" role responsible for evaluating opportunities and working cross-functionally to build high-impact products for educators and students.
This role involves leading the fine-tuning, optimization, and deployment of AI models with a strong emphasis on on-device inference. The engineer will adapt foundation models (LLMs, multimodal models) for specialized domains like orchestration and multi-agent coordination, ensuring they are fast, accurate, and efficient for resource-constrained environments.
This role is for an Agentic AI Engineer at a premier California law firm pioneering the use of advanced AI in legal services. The engineer will design and implement custom, agentic AI solutions from scratch to revolutionize client service, streamline legal system interactions, and optimize daily business operations.
This role involves designing, developing, and optimizing Model Context Protocol (MCP) implementations. The engineer will build robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.