Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

As a Principal AI Engineer, you will design and optimize scalable AI systems, mentor teams, and collaborate on cybersecurity solutions.

Lead the design and implementation of AI systems for residential construction. Develop LLM-powered applications, mentor engineers, and ensure production reliability.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.

The role involves developing scalable ML solutions, leading cross-functional discussions, analyzing knowledge data, and producing technical documentation to improve search relevance using AI and machine learning technologies.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

Lead development of AI capabilities for a SaaS platform, defining the AI roadmap, building intelligent features, and integrating AI/ML models.

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

The AI Engineer will improve text-to-SQL accuracy, build evaluation frameworks, and develop production-grade LLM applications, collaborating with engineering and customers for enhancements.

Design, develop, and optimize AI models and solutions, implementing them on cloud platforms while collaborating with teams to enhance AI capabilities.

Lead the AI engineering team to architect and maintain data pipelines for LLM models and enterprise AI solutions, ensuring compliance and high performance.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Software Engineer, you'll design and build a unified interface for large language models, drive AI tooling adoption, and ensure platform security and compliance.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The AI Engineer will develop LLM integration and AI products, designing intelligent pipelines to enhance user experience and operational efficiency.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The Senior Applied AI Engineer will architect and develop backend systems for AI applications, ensuring scalability and integration with LLM APIs while collaborating with product and engineering teams.

The Junior AI Engineer will develop and deploy AI solutions for extracting structured data from unstructured medical charts, collaborating with technical and clinical teams.

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.

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 AI Engineer will develop and deploy production-ready AI agents, work with frameworks like LangChain, and ensure reliability and scalability in AWS environments. Responsibilities include collaborating with teams to enhance AI capabilities for logistics solutions.

The Staff Applied AI Engineer will develop AI solutions to enhance productivity, design AI strategies, mentor team members, and build AI pipelines.

The AI Engineer will develop and optimize AI models, enhancing customer engagement through tools like chatbots, while ensuring data quality.