Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Provide high-level financial aid guidance to prospective and current students, present initial aid packages, assist with documentation and data entry, and maintain department policies and customer service standards. Support smooth processing of student financial aid and perform routine clerical and administrative tasks, including some evenings and Saturdays.

Build and extend Kubernetes orchestration for AI inference: implement CRDs/controllers in Go, design high-performance ingress/load-balancing, implement GPU-aware autoscaling (HPA/VPA), tune scheduler/resource management, and ensure HA for platform components.

As a Software Engineer II, you will design, build, and maintain applications for a healthcare quality data platform, collaborating with teams to develop features and ensure high standards of performance and security.

Lead account strategy and execution for an education-focused client. Manage timelines, budgets, and cross-functional teams; review and elevate creative; guide campaigns across paid, earned, owned, and social channels; use AI tools to streamline workflows; maintain client and internal communications and quality control.

The Director of Enterprise AI Enablement will lead AI transformation initiatives, manage an AI Enablement team, oversee AI product selection, and ensure best practices in AI governance, fostering a culture of innovation and change management across the organization.

You will design and implement scalable backend systems integrating August infrastructure with third-party DeFi protocols while collaborating with engineering teams.

As a Senior ML Engineer, you'll build ML infrastructure, ship AI features, define evaluation strategies, and enhance model decision-making in a dynamic startup environment.

The Systems Engineer will handle operational maintenance and sustainment of radar systems, including requirements definition, system design, integration, and analysis in support of US Space Force.

Design, build, and own LLM-powered product features that help users manage finances. Implement prompt engineering, RAG and retrieval systems, evaluation datasets/scorers, multi-agent orchestration, and production ML/AI services. Collaborate with AI Platform on routing, observability, and production quality.

The Engagement Manager will lead strategic initiatives for clients in Revenue Operations, managing teams, conducting discovery sessions, and optimizing processes using CRM systems and analytical tools.