Top Remote Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, ensuring cultural relevance and accuracy, while collaborating with interdisciplinary teams.

As a Customer AI Engineer, you'll design prompts, ensure content quality, collaborate with teams, and maintain documentation to enhance customer relationships and content creation processes.

The AI Engineer will develop and implement machine learning models and pipelines, focusing on generative AI, collaborating with data scientists and product teams to solve healthcare challenges.

The Senior Applied AI Engineer will develop advanced AI systems for document intelligence, transforming manual workflows into automated solutions in logistics.

The Senior Software Engineer will build and scale AI solutions for government contracting, focusing on feature development and systems integration.

The AI Engineer will develop and implement generative AI models, deploy LLM applications, and collaborate with teams to enhance AI capabilities.

Lead customer engagement by guiding workshops and prototyping solutions. Provide technical leadership, problem-solving, and support while sharing insights to shape product evolution.

The AI Engineer will develop and implement generative AI models, evaluate AI performance, integrate AI into production, and collaborate with diverse teams.

The Staff Software Engineer, AI designs and develops AI-powered applications, improving internal AI tooling, and driving best practices while collaborating with teams to solve complex problems.

The AI Engineer will design and implement an agent-based UI for a customer research platform, focusing on LLM applications, prompt engineering, and optimizing AI responses for research tasks.

Design and develop software solutions, maintain existing systems, and collaborate with teams to ship features while ensuring project success.

The AI Engineer Specialist will design and deploy scalable AI systems, optimize models, build infrastructure, and collaborate across teams for effective AI solutions.

As an AI Engineer, you will develop generative AI models, collaborate with teams to integrate AI solutions, and enhance AI capabilities.

The Senior AI Enablement Engineer evaluates and implements AI solutions, collaborates cross-functionally, and enhances AI literacy through training and workshops.

The AI Customer Integration Engineer will integrate tracking software, lead technical discussions, gather requirements, and manage project execution for enterprise-level clients.

As a Senior Generative AI Engineer, you will evolve a GPT-based chatbot and design ML systems to improve health outcomes, collaborating with cross-functional teams.

The AI Engineer will design AI-based analytics solutions, develop applications, optimize data pipelines, and ensure compliance in healthcare operations.

The Staff AI Engineer will build a platform for creating and managing AI agents, integrating LLMs and ensuring scalability while addressing compliance and privacy scenarios.

The Senior AI Engineer will design and implement AI systems powered by LLMs, lead development efforts, and drive continuous improvement in AI performance.

The Staff AI Engineer will design and implement scalable AI platform services, applying LLMs to enhance product features and ensure system reliability and security.

The Staff AI Engineer will develop AI-powered features, collaborate with teams, ensure performance in production, and mentor engineers.

Drive the development of AI-powered features, collaborate cross-functionally, and ensure performance reliability in a production environment.

As a Senior AI Engineer, you will build and enhance ClickUp's AI platform, integrating large language models, developing backend systems, and optimizing performance while ensuring security and compliance.

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

Design and implement advanced multi-agent AI systems for logistics, enhance automation, and oversee system performance and reliability.