Teams at Guidepoint

Build and productionize real-time conversational AI systems using voice, chat, LLM orchestration, retrieval, and multi-channel session management. Own services from architecture through Kubernetes/Azure deployment and operations. Develop evaluation infrastructure, tune LLM pipelines for quality, latency, and cost, integrate AI and voice vendors, and establish engineering practices for a growing team. Partner with product and compliance stakeholders to encode domain rules into reliable AI systems.

Own product vision, strategy, roadmap, prioritization, and backlog for SaaS web and mobile products. Develop deep customer workflow expertise, translate insights into features, lead cross-functional agile delivery, and establish product KPIs. Drive AI-enabled capabilities by prototyping with LLMs, evaluating models and vendors, creating prompts, agents, and evaluations, and applying responsible AI practices. Lead product launches, demonstrations, planning, stakeholder alignment, and continuous improvement.

Design, build, and operate scalable Generative AI systems and RAG pipelines; own end-to-end AI application lifecycle on Databricks and AKS; integrate LLMs with data sources and APIs; implement LLMOps, evaluation, observability, and production monitoring; mentor engineers and influence product roadmaps.