Top Artificial Intelligence Jobs

As a Senior Product Engineer, you will own end-to-end feature development on customer-facing products, make product decisions, and work closely with a collaborative team.

In this role, you will design and implement advanced agentic systems for web experiences, optimize AI integration, and lead architectural decisions to shape Flint's technical vision.

The Strategic Sales Manager will drive business growth by managing key global accounts, leading the sales cycle, and collaborating cross-functionally to exceed revenue targets.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

Develop and teach an AI Leadership course for professionals, creating engaging video content and optimizing learner engagement across diverse fields.

The AI Engineer will design and deploy classification models for media, optimize data pipelines, lead R&D in voice and audio generation, and research image intelligence technologies.

Lead ideation and engineering for agentic AI solutions in finance, conduct workshops, and prototype using Python and Azure. Drive pre-sales growth and collaborate with clients to shape AI applications in banking.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.

The Local SEO & AI Presence Specialist executes localized search strategies, manages digital presence, collaborates with Account Managers, and optimizes content for local SEO and AI platforms.

The AI Product Engineer will build AI-driven software features, enhance performance, and develop intelligent UIs, working across product and infrastructure layers.

The Frontend Engineer will lead the development of a web application, focusing on architecture, feature development, and testing, while collaborating with other teams and optimizing performance.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

Interns will work on AI-powered tools and automation workflows, presenting results to a leadership panel by the end of the program, with prize incentives for performance.

Lead full-stack development in AI-native solutions, design responsive features, ensure system quality, and collaborate on product iterations.

The Senior Applied AI/ML Scientist will architect and implement AI modeling efforts, focusing on fine-tuning large language models, while handling data lifecycle and ensuring model reliability in production.

The Senior Digital Product Manager will lead the AI Platform roadmap, drive development of core capabilities, and ensure performance evaluation, while collaborating across teams to deliver impactful AI solutions.

The Principal AI Compiler Engineer will design and enhance an AI compiler toolchain, integrating AI for optimizing neural network deployment on SoCs, partner with hardware teams, and improve performance through diagnostics and profiling.

Lead sales efforts for AI and Robotics, focusing on revenue growth and customer relationships. Drive top-line revenue through strategic sales motions.

The Manager of AI Program coordinates enterprise AI initiatives, ensuring alignment between business priorities and technology teams, managing cross-functional AI programs, and tracking performance and value realization for successful AI delivery.

The Social Media Coordinator & Content Creator will create engaging short-form video content, support social media planning, and manage influencer collaborations.

The AI Engineer will develop AI/ML solutions for Fortune 500 clients, ensuring integration and optimization, while collaborating with various stakeholders.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

As an AI Engineer, you'll develop and optimize LLMs, collaborating closely with cross-functional teams to enhance detection engineering capabilities and drive new AI initiatives.

The Cloud & AI Infrastructure Engineer designs and optimizes Azure infrastructure, develops CI/CD pipelines, and ensures reliability and security for AI applications.