Top Remote Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

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.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

The Staff Applied AI Engineer will lead AI-powered product development, focusing on multi-agent systems, workflow automation, and application UI generation, shaping the architectural direction and platform integration.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

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.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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.

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

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

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

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.

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.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

As an AI Operations Engineer, you will identify AI opportunities, build internal AI solutions, maintain operations, and ensure compliance, working closely with business leaders and IT.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

Lead the architecture and implementation of AI agents, oversee technical strategy, mentor engineers, and collaborate on impactful solutions.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

As a Staff AI Engineer, you'll own the architecture of AI pipelines, lead technical projects, mentor engineers, and influence product development in cybersecurity.

The Senior AI Engineer will create systems to manage cybersecurity alerts using AI, designing and implementing production pipelines and retrieval systems, while ensuring clear decision-making in security contexts.

As a Staff Backend AI Engineer, you will design and operate backend AI systems for Arbiter's care orchestration platform, ensuring reliability, low latency, and scalability while collaborating across teams and mentoring junior engineers.

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.