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

The AI Engineer will develop full-stack applications integrating AI solutions, building intelligent systems for HR benefits, and collaborating across teams for implementation.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

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.

The role involves building AI conversational experiences for enterprise clients, collaborating with teams, and enhancing customer experience through AI solutions.

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.

The Agentic AI Engineer will develop backend services, create enterprise UI components, and enhance AI-driven features using various technologies while mentoring junior engineers.

The Senior Agentic AI Engineer develops backend services, builds APIs, and creates frontend components while integrating AI into enterprise tools and mentoring junior engineers.

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

The role involves designing, implementing, and testing AI-first SaaS products, leading software development practices, and supporting deployment efforts.

As a Sr. Software Engineer, you will develop AI systems, engineer backend technologies, and contribute to scaling our codebase while collaborating on product development.

As a Staff AI Engineer, you'll lead AI integration into products, optimize LLM prompts, mentor engineers, and drive best practices in AI development.

Architect and deploy applied AI systems, engineer advanced AI architectures, optimize models, and translate business needs into AI solutions.

Develop backend applications using Flask, optimize performance, collaborate with teams for UI/UX, and maintain existing applications.

The role involves architecting and managing infrastructure systems, integrating third-party partners, and driving operational excellence across cloud platforms.

Join as a founding engineer to automate workflows, build agents, and optimize logic through rapid experimentation in a fast-paced startup environment.

Design, develop, and maintain web applications and APIs, ensuring scalability and performance, while utilizing AI-assisted coding tools.

The Staff Software Engineer will lead the development of scalable AI and data platforms, mentor engineers, and ensure best practices in data governance. Responsibilities include architecture design, collaborating across teams, and integrating advanced technologies to optimize platform performance.

Develop and maintain high-performance Python-based backend APIs, ensuring robust data management and collaborating with various teams to enhance cybersecurity products.

Build and implement AI solutions for cybersecurity, focusing on vulnerability detection and exploitation. Collaborate with senior engineers and mentor junior team members.

Lead the integration of AI in CPU/SoC design and verification. Build AI copilots for workflows, partner with EDA vendors, and define methodologies for CPU design improvement.

The Software Engineer (Applied AI) will build and design AI-native systems, data pipelines, and applications to enhance sales processes, ensuring reliable data handling from multiple sources.

Revic seeks a Sr. Software Engineer to develop AI-driven systems from diverse data sources, enhancing sales productivity and decision-making. Ideal candidates will have extensive experience in building scalable systems and solving complex problems.

The Principal AI Engineer will own the delivery of AI products, focusing on building and deploying LLMs, and creating scalable AI infrastructure.