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

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.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

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

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.

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.

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.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

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

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

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 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.

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

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

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

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

Lead the design and delivery of agentic systems, integrating enterprise tools and data while ensuring security and compliance. Collaborate with clients to optimize business workflows and develop reusable components.