Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

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.

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.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

Lead the technical evolution of software development by embedding AI into the workflow, designing intelligent ecosystems, and enhancing developer productivity.

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

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.

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

Design, build, and operate scalable AI/ML platforms and MLOps pipelines for cloud and edge environments. Implement real-time inference, integrate AI services with OSS/BSS, manage model lifecycle and monitoring, and mentor engineers to deliver production-grade AI solutions for network optimization and customer experience.

The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.

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.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

As an AI Automation Engineer, you'll identify and build AI-driven automation systems for internal operations, rapidly prototype solutions, and enhance business workflow efficiency, ensuring systems are robust and secure.

Design, test, and optimize prompts for generative AI, collaborate with data scientists, analyze model performance, and improve prompt engineering processes.

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.

As an AI & IT Systems Engineer, you will ensure robust IT infrastructure, enable AI workflows, and manage SaaS applications. You will partner on AI initiatives and provide cross-functional technical support.

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

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 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 engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.