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

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.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

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 a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

The Staff AI Engineer will drive architecture and implementation of AI-assisted engineering practices, overseeing technical standards, automated testing, and code review systems for software development in a regulated fintech environment.

Responsible for designing and deploying AI solutions, developing ML models, collaborating with teams, ensuring model performance, and adhering to ethical guidelines.

Interns will create a RAG pipeline for the HCL Informix Database Server, configure tools in VSCode, and capture system performance metrics.

As a Staff Software Engineer, you'll lead AI-powered product delivery, shape platform architecture, and drive initiatives like advertising systems and AI-generated content.

Lead AI safety strategies for autonomous vehicles, ensuring compliance with safety standards, mentoring teams, and guiding technical projects in AI/ML development for safety-critical applications.

As an AI Engineer, you will manage analytical projects, engage in causal modeling, feature engineering from data, and build AI-driven internal tools, partnering with various teams to develop customer solutions.

The AI Engineer - Marketing Operations will design, deploy, and manage AI systems to enhance marketing efficiency, integrate with CRM infrastructure, and optimize revenue impact through production-grade applications.

The Agentic AI Engineer is responsible for deploying, executing, and improving Machine Learning solutions, creating scalable systems, and collaborating with teams to drive strategy and business value through analytics.

The Senior AI Engineer will design and implement AWS-based AI solutions, build AI-powered features, ensure code quality, and collaborate across teams to enhance digital investigations.

Design and deploy AI agents for clinical workflows, ensuring reliability and efficiency in real-time patient care recommendations while collaborating with cross-functional teams.

The Senior AI Engineer will design and deploy AI agents for healthcare, ensuring reliability and efficiency in patient care workflows, collaborating with teams, and pushing for high-quality AI practices.

Develop and deploy production-grade AI/ML models, design end-to-end pipelines, and ensure compliance while collaborating with stakeholders in a federal environment.

As a Junior AI Engineer, you will design and build backend features, own projects end-to-end, write automated tests, debug production issues, and improve system reliability, communicating effectively across teams.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

The Senior Applied AI Engineer will design and develop GenAI features for Teamworks' Hub product, focusing on production-grade systems and architectural decisions. Responsibilities include full ownership of features, collaborating with cross-functional teams, and establishing best practices for reliable AI systems.

As a Staff Data Engineer, lead the architecture of a Snowflake-centric data platform, focusing on LLM-based data strategy and AI-driven products, while mentoring engineers and ensuring data integrity and performance.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.

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