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

Design, develop, and deploy agentic AI solutions while collaborating with customers and leading teams. Implement integrations and provide thought leadership.

The AI Developer will design and deploy AI solutions to enhance enterprise platforms, integrating ML capabilities and APIs while ensuring secure data operations.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

As an AI Engineer, you'll design and deploy AI agents, optimize AI integration, and contribute to the AI/ML lifecycle to enhance product capabilities.

The apprenticeship offers hands-on experience in AI and data science while working on production software projects and participating in a bootcamp.

Participants will complete software development and data science bootcamps while gaining practical experience through a paid apprenticeship, learning real-world coding and collaboration skills.

Design and implement advanced AI/ML models and systems to enhance various applications, while optimizing existing models for performance and efficiency.

The role involves design and development of data solutions using Azure tools, integrating Generative AI, and mentoring junior engineers.

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

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

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

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

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

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

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

Responsible for designing and deploying AI solutions, developing ML models, collaborating with teams, ensuring model performance, and adhering to ethical guidelines.

Assist in developing AI-powered applications, support workflows, test APIs, optimize data pipelines, and collaborate with teams to build enterprise AI solutions.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

The AI Engineer will design and build AI-powered product features and multi-step AI workflow chains, integrating LLMs to enhance user experiences and operational efficiencies in restaurant technology.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.

Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.

Design, develop, and productionize applied AI systems (RAG, LLM integrations, orchestration, agentic workflows). Ensure safe, reliable outputs with guardrails and monitoring, prototype and scale solutions, mentor engineers, collaborate cross-functionally, run experiments, and maintain testing, documentation, and production support.

Design, build, and operate production-grade LLM systems and multi-agent AI workflows. Own prompt architecture, RAG pipelines, cloud-native AI infrastructure, monitoring, and reliability to deliver scalable member-facing and operational solutions.