Top Artificial Intelligence Jobs

Define and execute QA strategy, build and maintain automated end-to-end API and UI tests, integrate tests into CI/CD, perform targeted manual testing, and partner with engineers and product teams to ensure production reliability for an AI-native enterprise platform.

The Senior Site Reliability Engineer will manage blockchain infrastructure, ensure high availability, build automation, improve Kubernetes reliability, and collaborate with engineering teams on best practices.

As a Sales Executive at illumin, you will manage the entire sales cycle, acquire clients, and build strategic partnerships in the AdTech space.

The Head of Sales will lead sales efforts, develop go-to-market strategies, partner with executives, and translate technical products into compelling narratives for customers, while ensuring scalable sales operations.

Lead Pryon's marketing strategy and execution across brand, demand generation, product marketing, PR, and field marketing. Build and scale a marketing team, align with sales/product, own MQL analytics and top-of-funnel demand, craft GTM messaging, and drive data-led decisions to generate pipeline and revenue.

As a Full Stack Engineer, you'll develop AI-powered manufacturing applications, integrating real-time AI models and handling large-scale data pipelines while creating user interfaces for decision-making.

Build and maintain backend systems and distributed cloud infrastructure for an AI-driven tax-prep platform: vision-language model pipelines, document data extraction, tax software integrations, and client-facing features to improve speed, accuracy, and reliability.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

As a Contract Transaction Coordinator, you'll oversee real estate transactions, ensuring compliance and best-in-class service while handling all closing administrative tasks.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.