Top Natural Language Processing (NLP) Jobs in Denver & Boulder, CO

Design, author, and iteratively optimize LLM evaluation prompts for Five9 AQM; define evaluation scope and pass/fail criteria with customers; select and analyze call samples; measure precision/recall; maintain a versioned prompt library; collaborate with QA and implementation teams; debug prompt failures; develop standards, templates, and support pre-sales demonstrations.

Design and iterate multi-channel conversational experiences (chatbots/voice) including intents, entities, prompts, fallbacks, and testing. Create conversation artifacts, define channel-specific behaviors, enforce style and safety guidelines, support platform implementations, use analytics to optimize flows, collaborate with UX/engineering/security, and maintain operational reliability and observability.

Lead and execute independent research programs on NLP and LLM safety, design and run experiments, secure funding, publish and present results, lead cross-functional teams, and develop evaluation tools and challenges to advance digital safety.

Own the end-to-end customer-facing conversational agent across chat and voice. Set roadmap, drive conversation and interface design in Figma, prototype with AI coding tools, define agent behavior and quality metrics, partner with enterprise clients for requirements and launches, and iterate from production conversation data.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Design and implement scalable ML solutions for customer experience problems. Analyze customer data, research and deploy ML/NLP models, automate model development and validation, and produce performance analyses.

Lead and scale Vibrant's data science, ML, and AI function: set strategy and governance, oversee applied research and production ML (especially NLP), ensure HIPAA-compliant deployments, partner with execs and engineering, recruit and mentor teams, and deliver measurable outcomes for crisis services and enterprise initiatives.

Design, train, fine-tune, deploy, and monitor Large Language Models for government mission applications. Collaborate with cross-functional teams, ensure data preprocessing and model performance, present findings to stakeholders, and mentor junior data scientists.

Build, productionize, and operate AI-driven features and integrations across frontend, backend, and model layers. Prototype and deliver agent-driven experiences (conversational interfaces, RAG, tool-calling), integrate LLMs and external data sources, and collaborate with product and design. Participate in on-call/standby duties.

Develop and deploy LLM-based solutions for document intelligence, semantic search, data extraction, and RAG systems. Design prompts and fine-tuned models, build evaluation pipelines, partner with product and engineering to ship production-ready AI features, and rapidly test new research on real customer data.