Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

The Senior Software Engineer for Support AI will develop voice and chat systems for customer support, driving projects from concept to production, while collaborating across teams and improving AI capabilities through integration and data insights.

Design, develop, and deploy AI/ML solutions for validation processes. Collaborate cross-functionally to enhance firmware and hardware validation efficiency using machine learning analytics.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Develop and build tools using AWS technologies, create Gen AI utilities, improve quality assurance practices, and collaborate with a global team.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.

The Principal AI/ML Engineer will develop AI/ML solutions for hardware and firmware validation, enhance test efficiency, and collaborate across teams to implement data-driven analytics and automation.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

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 an AI Operations Engineer, you will identify AI opportunities, build internal AI solutions, maintain operations, and ensure compliance, working closely with business leaders and IT.

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

The Senior Gen AI Engineer will design AI agents, build knowledge graphs, implement retrieval-augmented pipelines, and integrate data sources to enhance AI systems.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

The ML/AI Engineer will develop and deploy machine learning models, design data pipelines, support AI tools, and build digital twins, collaborating with cross-functional teams.

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.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The AI Engineer will develop AI-driven marketing tools, building APIs, data pipelines, and collaborating with teams to innovate. Requires experience in software development and generative AI concepts.

The Senior AI Engineer will design and deploy AI-driven marketing solutions, lead R&D efforts, and collaborate with stakeholders to translate business needs into scalable applications.