Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

Lead end-to-end post-training lifecycle for LLMs: curate SFT and preference datasets, run SFT and preference optimization, evaluate and monitor models, deploy agentic LLM systems, integrate into low-latency production, and provide technical leadership for alignment, safety, and versioning.

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.

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

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.

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.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

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

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

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.

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.

Design and build production-grade security automation and AI-assisted SOAR playbooks to convert detections into policy-driven responses. Integrate across identity, endpoint, network, cloud, and SaaS, embed guardrails, ensure measurable and auditable outcomes, and enable self-healing and resilient automation. Collaborate with platform owners and response teams and embed security controls into CI/CD and policy-as-code pipelines.

As an Associate Platform Engineer, you will build AI and Automation tools, collaborate with teams, and develop scalable applications on AWS, focusing on best practices.

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.

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.

Build and own full-stack UX and backend systems for the ML lifecycle: design architecture, integrations, observability, CI/CD, and production frontend/backends. Lead technical initiatives, mentor engineers, and collaborate across teams to scale ML platform capabilities.

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

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

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