Top AI Engineer Jobs

As a Principal AI Engineer, you will design and deploy AI applications, manage customer engineering for strategic accounts, and ensure technical feasibility while translating complex needs into solutions.

The Staff AI Engineer will lead backend architecture for AI/ML features in payments, focus on LLMs, collaborate with teams, and enhance payment experiences.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

Lead the development, deployment, and evolution of AI and machine learning solutions while guiding teams through the full lifecycle of AI systems.

The role involves building AI agents, integrating APIs, owning product architecture, and collaborating with founders while developing tools for booking management.

As a Senior AI Engineer, you'll design and deploy AI systems, own AI pipelines, and integrate LLMs into workflows, significantly impacting product direction.

As an AI Sales Engineer, you will provide technical leadership, advise customers on cloud capabilities, lead sales calls, and align product roadmaps with customer needs.

Lead design, development, deployment, and operationalization of AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership on chatbots, conversational AI, and NLP, ensure responsible AI and production reliability, and mentor engineering teams.

Lead the design and delivery of AI/ML solutions, oversee development processes, collaborate on technical strategy, and mentor engineering teams.

Lead architecture and hands-on development of a cross-platform mobile platform integrating on-device and server-side AI. Drive React Native and native (iOS/Android) solutions, CI/CD, performance, security, and mentor engineering teams while collaborating with data science and backend teams to deliver scalable, AI-powered mobile experiences.

Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Design, implement, and operate production AI/ML systems for healthcare. Own inference and delivery of ML insights, scale and monitor models, build and optimize data pipelines, apply MLOps practices, and partner with cross-functional teams to integrate AI into products.

The Sr AI/ML Engineer designs and deploys generative AI and NLP solutions, develops large language models, and implements AI systems for healthcare impact.

The Principal AI/ML Engineer will develop AI/ML solutions for hardware and firmware validation, enhance test efficiency, and collaborate across teams to implement data-driven analytics and automation.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Lead AI-driven development efforts, modernize engineering processes to enhance quality and speed in software development, and implement best practices for AI tools.

The Senior AI/ML Engineer will design and implement scalable ML infrastructure solutions, mentor junior engineers, and own key technical projects.

The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The Founding AI Engineer will design and implement production-grade AI systems focused on orchestrating complex workflows using LLMs and modern AI tools. Responsibilities include architecting, building, and optimizing systems while collaborating with founders and partners on product development.

As an AI Engineer, you will develop AI solutions for growth marketing, focusing on LLMs, collaborating with teams, and optimizing AI-driven processes.

The Senior Manager AI Engineer will lead the development of AI solutions for Global Development, focusing on algorithms, data architecture, and stakeholder collaboration.

The Senior AI Engineer will design and implement AI-powered product features, focusing on LLMs and distributed systems, while leading projects from inception to production.

The Staff AI Engineer will lead design and delivery of AI products, define technical architecture, set engineering standards, and collaborate across teams.