Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

As a Conversational AI Developer, you'll design and test AI tools for contact centers and integrate AI functionalities, collaborating in an Agile environment.

The Staff Software Engineer will build and optimize GenAI full-stack applications, manage deployment pipelines, and mentor team members while ensuring high-quality solutions and collaboration with cross-functional teams.

Lead the development of generative AI applications that enhance sales operations, collaborating across teams to streamline customer engagement.

As an AI Engineer, you'll develop AI solutions, integrate them into products, conduct model evaluations, and collaborate with teams.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

As a Staff AI Engineer, you will develop and maintain AI capabilities in software, focusing on an AI-based voice agent for healthcare. You will collaborate with talented engineers and contribute to consumer-facing products.

As a Senior Associate at PwC, you will develop AI solutions, analyze complex problems, mentor junior members, and build client relationships while upholding professional standards.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

Design and build hybrid retrieval systems, develop pipelines for operational knowledge, and architect knowledge graphs while collaborating with experts.

The role involves deploying machine learning models for autonomous vehicles, developing software for ML runtimes, and collaborating with AI teams.

Develop and deploy AI models on edge devices, optimize ML models for real-time inference, and collaborate with firmware teams.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Manager, Data and Analytics Engineer will develop and manage data infrastructure for Visier People Analytics, ensuring data quality and compliance across various business functions.

As a Senior Software Engineer, you will design and implement scalable AI infrastructure, lead projects, mentor junior engineers, and solve complex technical challenges, leveraging modern cloud technologies and AI frameworks.

The role involves architecting and managing hybrid infrastructure for AI/ML, focusing on Kubernetes, AWS, and Infrastructure-as-Code practices.

As an AI-First Full Stack Software Engineer at Zapier, you'll develop features leveraging AI tools, build APIs, collaborate across teams, and optimize user experiences. You'll work in a remote-first environment with a focus on automation and AI-driven development practices.

The AI Engineer at WRITER develops robust AI models and collaborates with teams to integrate ML capabilities into products, ensuring performance and scalability.

The intern will develop AI solutions, consult on architecture, implement proof of concepts, and gain experience with cloud platforms and data engineering.

The role involves developing AI tools, managing the development lifecycle, collaborating on data integration, and educating end-users.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The role involves designing and developing automation systems using low-code/no-code platforms and AI, improving operations in real estate technology.

Lead and develop embedded software solutions for AI-driven safety products, ensuring accuracy of algorithms and guiding technical efforts within the team.

Lead development of AI features for ClickUp, collaborating with various teams to innovate and ensure reliability and performance in production environments.

As a Senior AI Engineer, you will develop AI features, collaborate with cross-functional teams, ensure production reliability, mentor peers, and integrate AI models.

Design, develop, and maintain a platform for intelligent agents; integrate multiple LLMs; build workflows for multi-agent coordination and ensure compliance with data regulations.