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

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.

Responsible for managing Cribl data streams and creating realistic datasets. Build and administer high-scale pipelines and stream data into logging tools.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

The Staff Backend Engineer will own the Economic Core of Voyagu's Radar platform, focusing on financial systems architecture and ensuring revenue correctness and financial logic implementation across the system.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.