Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The Senior Full-Stack Engineer will lead technical areas, develop AI application services, maintain APIs, collaborate on design, and ship product features.

The Principal Software Engineer will lead AI automation efforts at Coinbase, designing AI-driven systems, mentoring teams, and solving complex AI challenges to improve operations and developer productivity.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Senior AI Engineer will design and build user experiences using Generative AI, mentor teammates, and lead technical decisions in the BigFuture Student team.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

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 Forward Deployed AI Engineer, you'll architect and deploy AI solutions in diverse environments, ensuring secure and rapid software delivery for defense initiatives while liaising with technical and non-technical stakeholders.

The role involves designing and deploying generative AI solutions, collaborating with teams, ensuring security and compliance, and guiding architectural decisions for 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.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The AI Engineer will create technical content, build sample agents, and represent Galileo at events while synthesizing developer feedback for product improvements.

Lead the design and delivery of agentic systems, integrating enterprise tools and data while ensuring security and compliance. Collaborate with clients to optimize business workflows and develop reusable components.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.