Top AI Engineer Jobs in Denver & Boulder, CO

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.

Lead and contribute to Aegons Core AI platform development, enhance the AWS Launchpad, build production GenAI and agentic solutions in Python, guide AI teams, select AWS AI services, evolve governance, and drive enterprise AI adoption.

Senior individual contributor responsible for designing and delivering production AI solutions (LLM services, RAG, document intelligence) using AWS native technologies. Build LLM-enabled APIs, vector search pipelines, and cloud-native, serverless integrations; ensure CI/CD, observability, security, and compliance. Provide technical leadership, mentor engineers, collaborate with platform and product teams, and contribute reusable AI patterns and reference implementations.

The Senior Software Engineer will develop AI-powered workflows and internal tools, ensuring integration with sales and operational systems, while collaborating with various teams to enhance efficiency and automation.

The AI Engineer (GTM) will architect AI systems to enhance go-to-market operations, automating workflows, improving marketing and sales efficiency, and supporting customer growth strategies.

The AI Engineer will design and build AI Assistants integrated with enterprise tools, focusing on automation, API development, and prompt engineering.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

The Principal AI Engineer leads implementation work in the AI Innovation Lab, focusing on building technical infrastructure, developing AI prototypes, and establishing best practices in a cloud environment.

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

The Senior Gen AI Engineer will design AI agents, build knowledge graphs, implement retrieval-augmented pipelines, and integrate data sources to enhance AI systems.

The ML/AI Engineer will develop and deploy machine learning models, design data pipelines, support AI tools, and build digital twins, collaborating with cross-functional teams.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The AI Engineer will develop AI-driven marketing tools, building APIs, data pipelines, and collaborating with teams to innovate. Requires experience in software development and generative AI concepts.

The Senior AI Engineer will design and deploy AI-driven marketing solutions, lead R&D efforts, and collaborate with stakeholders to translate business needs into scalable applications.

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.

The Staff AI Engineer will architect and deliver AI systems, mentor engineers, and design scalable infrastructure for LLM-driven applications.

The Senior AI Engineer designs and deploys AI agents and workflows, collaborating across teams to deliver reliable AI solutions that drive business outcomes.

The Full Stack AI Engineer will develop and maintain AI agents, build clinician-facing products using React and Python frameworks, and manage data infrastructure to support clinical workflows.

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.

The AI Engineer will design backend systems for workflows, optimize multi-agent pipelines, develop knowledge retrieval systems, and collaborate to integrate workflows using LLMs and traditional systems.

The Applied AI Engineer role involves designing, building, and deploying AI-powered systems, collaborating with business teams, and measuring solution impact. Responsibilities include translating workflows into systems, driving outcomes, and ensuring regulatory compliance while fostering community sharing of learnings and tools.