Top Generative AI Jobs in Denver & Boulder, CO

Lead architecture and delivery of Generative AI solutions across Life & Annuities insurance, defining secure, scalable patterns (RAG, vectors, agents), integrating AI with policy administration, underwriting, and third-party systems, and enforcing governance, observability, and compliance while mentoring engineering teams and guiding cloud and data platform choices.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

The AI Engineer role involves developing generative AI agents, LLM services, and APIs, focusing on intent detection and context engineering in a fast-paced environment.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Develop and deploy AI-powered chatbot applications, design conversational flows, integrate with various platforms, and optimize performance.

Design and build AI-powered chatbot solutions, optimize performance, and integrate with various platforms using NLP techniques.

Review text prompts and AI-generated videos to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Add concise annotations, perform self-QA, participate in calibration, document recurring model failures, and meet throughput and quality targets using structured annotation platforms.

Review text prompts and AI-generated video clips to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Create concise annotations, perform self-QA, follow project guidelines, attend calibrations, and document recurring issues while meeting throughput and quality targets.

Perform detailed annotation, labeling, and quality assurance on text, image, video, and multimodal datasets for generative AI. Evaluate prompts/responses, refine guidelines, identify edge cases, support data workflows, and collaborate to improve dataset and model quality.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

Interact with generative AI models to create and evaluate prompts, identify safety failures, document model breakability and failure points, review multimodal content, apply safety taxonomies, perform high-volume annotation sprints, participate in calibration and quality reviews, and flag unclear guidelines or tooling issues.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The role involves designing and deploying generative AI solutions, collaborating with teams, ensuring security and compliance, and guiding architectural decisions for AI initiatives.

The Senior Software Engineer will design and implement Generative AI solutions, collaborate with teams, enhance AI applications, and mentor others in best practices.