Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

Responsible for designing and implementing AI systems, optimizing models, and managing deployments. Requires expertise in machine learning, RAG systems and production AI.

The AI Engineer develops and implements AI systems, designs and trains algorithms, manages large datasets, and integrates models into applications.

Lead the design and implementation of AI-driven voicebot solutions, collaborating with partners and mentoring developers to optimize customer experiences.

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.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

Seeking a Staff Software Engineer to lead platform architecture and development for AI-powered patient communication tools, mentoring engineers and driving technical excellence.

As a Staff Software Engineer, you'll lead AI adoption, design prototypes, collaborate across teams, and ensure responsible AI integration at Coinbase.

The role involves driving AI adoption at Coinbase by collaborating with teams to identify AI use cases, developing prototypes, and ensuring scalable AI solutions that bring ROI, while adhering to security and ethical standards.

As a Machine Learning Engineer in the Risk AI/ML team at Coinbase, you'll develop, enhance, and deploy ML models to prevent fraud and improve security for users. This role involves end-to-end model ownership, responding to threats, and collaborating with various teams to create automated defenses.

Develop and deploy computer vision AI models, collaborate with teams, and optimize performance for real-time applications using advanced technologies.

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

The Senior Sales Engineer will act as a technical advisor to enterprise clients, leading technical sales cycles, delivering demos and POCs, and advising on AI adoption strategies.

As a Conversational AI Engineer, you will design and deploy intelligent chat agents, integrate systems, evaluate AI tools, and ensure system performance to enhance customer service.

The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.

Design and build agentic systems for financial workflows using AI, LLMs, and optimize AI models for production environments.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

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

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.

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.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The Senior Software Engineer will lead AI/ML projects, developing features and APIs primarily using Python and Go, ensuring operational excellence and collaboration for architectural solutions.

As a Senior Staff Engineer, you will design, build, and ship AI-powered retirement features, collaborating closely with product and design teams.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

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