Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

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

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.

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

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

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.

Lead discovery, prototype, and productionalize AI automation across functions. Build LLM-based agents and copilots, write production-quality Python/Golang services, ensure security and responsible AI, drive adoption, measure ROI, and collaborate with core AI, legal, and business teams.

Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across 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.

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.

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 role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

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

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

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.

Lead design and scaling of automated test frameworks across UI, API, integration, and performance layers. Integrate AI-enabled test generation and monitoring, embed tests in CI/CD pipelines, ensure audit-ready documentation for GxP/21 CFR Part 11 compliance, and collaborate with Engineering, DevOps, and Quality to increase automation coverage and release confidence.