What are the responsibilities and job description for the AI Product Builder | Healthcare AI Platform position at Genzeon?
AI Product Builder | Healthcare AI Platform
Genzeon Corporation — Healthcare Division
Exton, PA / Remote | 0–3 years | Full-time
The short version: We 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 behaviors
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