Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The Applied AI Engineer will develop systems and tools for AI integration, designing backend architecture and APIs, and collaborating across teams to implement AI solutions.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

As a Senior Generative AI Engineer, you'll develop AI-powered solutions across sales, customer success, and finance, leveraging advanced AI techniques to enhance workflows and drive innovation in ad tech.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

As a Conversational AI Developer, you'll design and test AI tools for contact centers and integrate AI functionalities, collaborating in an Agile environment.

The Senior Software Engineer will own quarterly goals, lead the team through challenges, collaborate on product development, and ensure code quality, while also fostering team growth.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

As a Staff AI Engineer, you'll design and implement AI systems, develop APIs, and mentor engineers, collaborating with teams for impactful automation in advertising.

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.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The role involves integrating AI into products, designing multi-agent systems, and improving customer experiences through collaboration and innovation.

The role involves designing AI systems to enhance payroll experiences, collaborating with teams to automate workflows, and iterating on AI features for better customer outcomes.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

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 Platform Engineer, you will build AI and Automation solutions, collaborate with cross-functional teams, and manage serverless architectures using AWS, while ensuring code quality and project delivery.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

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.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

The Senior GTM Engineer will develop AI solutions for GTM workflows, integrate AI platforms with core tools, and lead AI experiments to drive revenue impact.

The role involves building data pipelines, APIs, and analytics tools using LLMs and various data processing frameworks to enhance Scrunch's product capabilities.

The role involves designing, developing, and deploying production-ready AI agents, prototyping and iterating solutions, and working across teams to enhance workflows with AI integrations.