Top Remote AI Engineer Jobs

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

The role involves developing AI/ML models using Generative AI technologies, deploying solutions, collaborating with Pharmacy teams, and optimizing performance.

The AI Engineer Trainee Program offers hands-on experience in AI product development, focusing on LLMs, prompt engineering, and backend development. Trainees will work with AI coding tools and frameworks while developing scalable applications.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.

The AI Engineer will develop AI applications, lead customer engagements, monitor system performance, and provide feedback to influence product direction. Requires expertise in machine learning and software engineering.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.

The AI Engineer will shape AI strategy by prototyping solutions, collaborating with cross-functional teams, and optimizing ML models for business benefits.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

Responsible for designing and implementing AI systems, optimizing models, and managing deployments. Requires expertise in machine learning, RAG systems and production AI.

The AI Engineer develops and implements AI systems, designs and trains algorithms, manages large datasets, and integrates models into applications.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

As a Staff Software Engineer, you'll lead AI adoption, design prototypes, collaborate across teams, and ensure responsible AI integration at Coinbase.

The role involves driving AI adoption at Coinbase by collaborating with teams to identify AI use cases, developing prototypes, and ensuring scalable AI solutions that bring ROI, while adhering to security and ethical standards.

As a Machine Learning Engineer in the Risk AI/ML team at Coinbase, you'll develop, enhance, and deploy ML models to prevent fraud and improve security for users. This role involves end-to-end model ownership, responding to threats, and collaborating with various teams to create automated defenses.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

Lead the development and optimization of LLM-powered multi-agent systems for financial institutions, focusing on safe data interactions and improved AI models, while driving innovation in reinforcement learning and inference methods.

As a Principal AI Engineer, you will design and optimize scalable AI systems, mentor teams, and collaborate on cybersecurity solutions.

Seeking a Senior Sales Engineer to act as a technical advisor for enterprise clients, delivering AI solutions, conducting demos, and supporting the sales cycle.

The Senior Sales Engineer will act as a technical advisor to enterprise clients, leading technical sales cycles, delivering demos and POCs, and advising on AI adoption strategies.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The ML Software Engineer will design and develop scalable backend services for AI/ML workflows, focusing on data engineering and system reliability.

Design and optimize high-performance agentic AI systems for the CUDA ecosystem, collaborating with various teams to enhance NVIDIA products.

As an Applied AI Engineer, you will design and implement ML systems for customer interactions, focusing on performance and scalability.