Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

Lead design and deployment of AI systems, develop agentic components, optimize performance, and mentor others in AI Engineering.

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

As a Staff AI Engineer at Rula, you'll design and scale AI systems for mental healthcare, focusing on generative AI and improving patient outcomes through safe and reliable technology.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

Lead AI initiatives to enhance access to social care, build production-ready AI/ML solutions, and foster an AI-first culture at Findhelp.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

Lead the architecture and development of a scalable, cloud-based intelligent analytics platform focused on video and sensor data for AI applications. Responsibilities include designing data pipelines, maintaining cloud infrastructure, and deploying AI models.

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

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

Lead the design and deployment of AI applications, collaborating with teams to integrate LLM models and ensure performance metrics are met, while fostering continuous improvement.

As a Senior Software Engineer, you will build AI-driven agent systems for media planning and execution, collaborating closely with data scientists and product teams.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

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 AI-powered features for 8am products, collaborate with teams to create AI-driven solutions, and improve infrastructure for AI deployment.

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 Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

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