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

The role involves developing AI-driven features for observability tools, collaborating with cross-functional teams, and delivering scalable solutions.

The AI Engineer will develop GenAI solutions, advise customers, collaborate with teams, and present at conferences, enhancing AI applications.

The AI Developer at Harvard Business Publishing will develop AI/ML infrastructure, support product teams, and drive innovation through AI applications.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

Design and implement ML and AI models for healthcare products, collaborate with cross-functional teams, and mentor junior members.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.

The AI Engineer will develop LLM-powered copilots, manage retrieval and context layers, optimize GPU costs, and ensure compliance and safety. Responsibilities include improving search accuracy and working across teams to design effective systems.

The AI Engineer is responsible for developing, deploying, and scaling AI solutions, collaborating with teams, optimizing performance, and driving delivery of AI components.

Lead the development of AI solutions for homebuilding, including designing systems, mentoring teams, and integrating LLMs into products.

Join Prokeep as a Senior AI Engineer, building AI-powered features, defining AI strategies, and collaborating with cross-functional teams to enhance order automation for distributors.

Design, develop, and deploy AI systems and ML models for manufacturing applications. Collaborate with teams, train models, optimize performance, and innovate using new AI technologies.

Design and build intelligent software agents for federal missions, integrating AI technologies and creating full-stack applications in an agile team environment.

The AI Lead Engineer will manage the end-to-end delivery of AI solutions, focusing on LLM applications, model development, and operational optimizations, while collaborating with cross-functional teams.

Seeking a recent graduate to design and implement AI-driven solutions, focusing on M365 CoPilot and automation systems while supporting teams across the organization.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

Collaborate to create AI applications, develop prototypes, build data pipelines, and use LLMs to enhance generative applications.

The AI Engineer II designs and develops generative AI software solutions, oversees architecture, evaluates technologies, and collaborates with teams for project delivery.

As a Lead AI Engineer at Aprio, you will design, develop, and deploy AI solutions, implement MLOps practices, and collaborate with teams to identify AI use cases, while leading junior engineers.

Seeking a Staff AI Engineer to build scalable AI platforms using LLMs, optimize performance, and collaborate across teams for innovative solutions.

The Senior AI Engineer will design and implement scalable AI platforms, integrate LLMs, build robust APIs, and ensure reliable AI services, collaborating across teams.

Drive development of AI-powered features, collaborate with cross-functional teams, integrate LLMs, ensure product reliability, and mentor engineers.

The Senior AI Engineer at ClickUp will develop and implement AI features, collaborate cross-functionally, and mentor engineers while ensuring reliable AI applications.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

As a Staff AI Context Engineer, you'll design AI systems that utilize knowledge graphs, retrieval-augmented generation, and memory systems, ensuring efficient educational content organization and delivery.