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

As a Senior Generative AI Engineer, you'll develop AI-powered solutions across sales, customer success, and finance, leveraging advanced AI techniques to enhance workflows and drive innovation in ad tech.

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.

The Applied AI Engineer will develop systems and tools for AI integration, designing backend architecture and APIs, and collaborating across teams to implement AI solutions.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

As a Conversational AI Developer, you'll design and test AI tools for contact centers and integrate AI functionalities, collaborating in an Agile environment.

The Senior Software Engineer will own quarterly goals, lead the team through challenges, collaborate on product development, and ensure code quality, while also fostering team growth.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

As a Staff AI Engineer, you'll design and implement AI systems, develop APIs, and mentor engineers, collaborating with teams for impactful automation in advertising.

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

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

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.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

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

The Senior GTM Engineer will develop AI solutions for GTM workflows, integrate AI platforms with core tools, and lead AI experiments to drive revenue impact.

The role involves building data pipelines, APIs, and analytics tools using LLMs and various data processing frameworks to enhance Scrunch's product capabilities.

The role involves designing, developing, and deploying production-ready AI agents, prototyping and iterating solutions, and working across teams to enhance workflows with AI integrations.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

As a founding AI engineer, you will architect AI-powered workflows, build APIs, tune models, and collaborate with the team on product development.

As a Full Stack Founding AI Engineer, you'll architect scalable systems, fine-tune AI models, build APIs, and collaborate with clients and founders to develop impactful tools.

As an AI Developer, you'll build full-stack applications that integrate ML models into user-facing experiences while collaborating with teams across regions.