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

Lead client engagements on benefits strategy, plan design, open enrollment, and administration. Stabilize operations, manage carriers/brokers, execute transitions and platform migrations, ensure compliance, advise on cost optimization and multi-state/global expansion, and expand client relationships.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Design and deploy production-grade LLM-powered systems (RAG, agents, pipelines). Integrate AI across products, fine-tune and evaluate models, define prompt/modeling best practices, monitor model performance, and mentor engineers.

Design, develop, and maintain software applications; collaborate with product, design, and engineering teams; write clean, scalable code; participate in code reviews; troubleshoot defects; stay current with emerging technologies.

Own new-business sales to win employer and TPA customers: prospecting, outbound outreach, discovery, product education, end-to-end deal management, proposal/contracting, market feedback, and travel (20-50%).

Build and scale an agentic AI stack for healthcare revenue cycle: implement voice AI pipelines, LLM orchestration, integrations with EHRs/RCM systems, real-time analytics, dashboards, and production-grade full stack features working closely with founders and customers.

Build end-to-end features across frontend and backend using React/TypeScript and Node.js (some legacy Go). Collaborate with design, ship via continuous deployment, debug and monitor production, use AI coding tools, and make product and technical decisions while owning delivered features.

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Own strategic customer relationships and lead deployment of AI workflows into supplier operations. Map customer SOPs and data sources, identify high-ROI AI opportunities, translate needs into product and implementation requirements, drive adoption, partner with product/engineering, build playbooks, track value, and surface expansion opportunities across global teams.