Top Remote 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.

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.

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.

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

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.

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 Senior Software Engineer will drive AI adoption at Coinbase, leading initiatives from ideation to production while collaborating across teams to implement AI automation solutions.

The Software Engineer II will develop and support AI-driven projects, engage in code reviews, and collaborate with product teams to enhance user experience on the YCharts platform.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with 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.

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.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

As a Conversational AI Engineer, you will design and deploy intelligent chat agents, integrate systems, evaluate AI tools, and ensure system performance to enhance customer service.

The Senior ML/AI Engineer designs and implements ML/AI solutions, leading end-to-end ML/AI pipelines, collaborating with teams, mentoring, and developing infrastructure for large-scale data-driven products.

Apprentices will learn AI and data science while gaining real industry experience, contributing to software projects and completing a bootcamp.

The apprenticeship program involves learning AI and data science while working on software projects, writing code, and collaborating with mentors.