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

Design, build, and productionize Generative AI applications (document intelligence, RAG, semantic search). Implement LLM fine-tuning, vector search, agentic workflows, and MLOps on GCP; collaborate with clients to translate requirements into scalable, reliable AI services.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

Develop AI agents leveraging large language models, integrate external tools, and ensure production-ready AI features while collaborating across teams.

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.

As a founding AI engineer, you will architect AI-powered workflows, build APIs, tune models, and collaborate with the team on product development.

As a Full Stack AI Engineer, you'll build AI applications and products, prototype solutions, and collaborate with founders in a fast-paced environment.

As a Staff AI Engineer, you will drive product-centric development of AI technologies, enhance evaluation systems, optimize reasoning strategies, and lead production-grade model tuning while balancing performance and cost.

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.

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.

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.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

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 the AI development at HouseAccount by designing, prototyping, and deploying intelligent systems that automate home services. Collaborate with product and growth teams to enhance workflow efficiency using AI technologies and frameworks.

The Senior AI Engineer will build AI evaluation frameworks, design multi-agent workflows, optimize inference performance, and implement RAG systems. Responsibilities also include integrating AI systems with data sources and ensuring quality and reliability in production environments.

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.

The Principal AI Engineer will lead AI system design across SaaS solutions, prioritize AI use cases, build scalable solutions, and mentor teams on AI governance and best practices.

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.

You will research AI technologies, develop, test, and maintain software, improve ML processes, and architect scalable systems for AI applications.