Top Artificial Intelligence Jobs

Review, draft, redline, and execute NDAs using AI agents; advise clients on NDA playbooks and market standards; manage AI-augmented workflows and coordinate negotiations and execution with counterparties while collaborating with partners and tech teams to improve efficiency.

Work directly with CTO, CEO, Product, and Design to build and ship front-end features. Translate designs from prototyping tools into accessible, performant React-based UIs, integrate with APIs, and support internal and client builds.

Work across the full stack to design and deploy features using Next.js and AWS (ECS/ECR/Lambda). Build and maintain web scraping pipelines and high-volume data systems (Postgres, ClickHouse, MongoDB). Own production reliability, debug at scale, and contribute to the technical roadmap.

Lead the engineering org, define technical strategy and roadmap, own architecture, cloud and data pipelines, drive product delivery, hire and mentor engineers, collaborate with computational biology, remain hands-on in code and architecture, and support company-wide initiatives.

Design, deploy, and run production AI systems for service businesses: build agent orchestration, connectors, deployment infrastructure, evals and training pipelines; integrate with legacy ERPs; embed with portfolio teams to drive adoption and measure business impact.

Lead North American strategic enterprise sales for Whoz, driving $3M+ deals through end-to-end deal strategy, account planning, GTM alignment, multi-product commercial structuring, and senior executive negotiations to accelerate revenue and long-term profitability.

The Token Venture Investor will research emerging technologies, evaluate investment opportunities, engage with community members, and support portfolio companies' growth.

Design, develop, and maintain secure, scalable web applications across the full stack. Build responsive front-end UIs, server-side logic, and performant databases. Implement authentication and authorization (MFA, OAuth, RBAC) and integrate security best practices. Use cloud and containerization technologies to deliver high-scale applications.

Design, build, and operate core cloud platform components for real-time IoT, energy, and telematics applications. Own features end-to-end, ensure reliability, scalability, maintainability, and performance, and collaborate cross-functionally while working independently to drive delivery.

Founding researcher to develop and evaluate memory architectures and continuous-learning systems for enterprise messaging. Run experiments on offline workspace data, design systems, ship features, and publish research; work balances theory, applied evaluation, and product-focused execution.