AI Product Builder | Healthcare AI Platform

Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.Genzeon has an exciting opening for AI Product Builder | Healthcare AI Platform to join our dynamic team.AI Product Builder | Healthcare AI PlatformGenzeon Corporation — Healthcare DivisionExton, PA | 0–3 years | Full-timeWe use AI to process Medicare prior authorization documents — vision models, OCR, classification, RAG, clinical reasoning. 150K documents/year.You’ll own the product experience layer of that pipeline.You’ll design what happens when AI is confident, when it’s uncertain, and when it’s wrong.What you’ll do:Own the product experience across a multi-model AI pipeline (classification → extraction → clinical QA → decision)Design confidence thresholds, human review workflows, and escalation logic.Work directly with ML engineers on model selection, prompt design, and architecture decisions.Build feedback loops between clinical reviewers and AI performance.Translate CMS/Medicare regulatory requirements into AI system behavior.What you need:At least one AI project you’ve built that other people used (we’ll ask what broke).Understanding that LLMs are probabilistic and what that means for product design.Hands-on experience with one or more of: RAG, document AI, vision-language models, multi-agent systems.Ability to read code, navigate a repo, and have a technical conversation with engineers.Systems thinking — you care about what happens in the pipeline, not just the UI.Strong signals:GitHub with AI projects — agents, RAG pipelines, fine-tuned models.Open-source contributions (LangChain, LlamaIndex, Hugging Face, llama.cpp).AI hackathon participation.Familiarity with healthcare data (FHIR, X12, HL7).Experience with on-prem GPU deployment, not just API calls.We don’t require:An MBAPrior “Product Manager” titleEnterprise software experience