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

As a Staff AI Engineer at Rula, you'll design and scale AI systems for mental healthcare, focusing on generative AI and improving patient outcomes through safe and reliable technology.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

Lead the architecture and development of a scalable, cloud-based intelligent analytics platform focused on video and sensor data for AI applications. Responsibilities include designing data pipelines, maintaining cloud infrastructure, and deploying AI models.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

Lead design and deployment of AI systems, develop agentic components, optimize performance, and mentor others in AI Engineering.

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The Senior AI Software Engineer will architect and implement full-stack software applications, focusing on AI solutions and deployment pipelines, collaborating across teams to enhance product delivery.

As a Senior Software Engineer, you will build and maintain production-grade systems, drive AI automation projects, and collaborate with engineering teams on backend development using modern technologies.

Lead AI initiatives across Coinbase by identifying opportunities for automation, designing solutions, and driving adoption in various non-engineering functions while ensuring responsible AI usage.

As a Senior Software Engineer, you will develop AI-driven tools, automate workflows, and collaborate across teams to enhance productivity. Responsibilities include building infrastructure, deploying AI agents, and optimizing performance for user-friendly solutions.

The Software Engineer will develop AI tools for enhancing developer workflows, utilizing Python, Go, and TypeScript to create autonomous agents, APIs, and SDKs that improve productivity and user experience.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

The Software Engineer II will develop and support AI-driven projects, engage in code reviews, and collaborate with product teams to enhance user experience on the YCharts platform.

Lead the design and deployment of AI applications, collaborating with teams to integrate LLM models and ensure performance metrics are met, while fostering continuous improvement.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The AI Developer designs, builds, and delivers AI solutions. Responsibilities include developing MVPs, integrating data and models, and collaborating with teams to solve complex problems through AI.