
51 - 200 employees
đź’Ľ Consulting
🛡️ Insurance
📦 Logistics
Consulting • Insurance • Logistics
VIVIO is a Public Benefit Corporation specializing in drug management solutions. The company utilizes data intelligence to provide personalized drug therapies, leveraging clinical trial data and market prices to ensure patients receive the right medication at the right price without unnecessary middlemen or markups. VIVIO offers an alternative to traditional Pharmacy Benefit Manager (PBM) models by providing a transparent and cost-effective approach to drug pricing and management. Their services focus on reducing prescription costs while improving outcomes and maintaining compliance, specifically targeting specialty drugs and broader drug management needs for organizations.
🔥 6 minutes ago
🇺🇸 United States – Remote
đź’µ $165k - $205k / year
⏰ Full Time
đźź Senior
🧑‍💻 Full-stack Engineer
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51 - 200 employees
đź’Ľ Consulting
🛡️ Insurance
📦 Logistics
Consulting • Insurance • Logistics
VIVIO is a Public Benefit Corporation specializing in drug management solutions. The company utilizes data intelligence to provide personalized drug therapies, leveraging clinical trial data and market prices to ensure patients receive the right medication at the right price without unnecessary middlemen or markups. VIVIO offers an alternative to traditional Pharmacy Benefit Manager (PBM) models by providing a transparent and cost-effective approach to drug pricing and management. Their services focus on reducing prescription costs while improving outcomes and maintaining compliance, specifically targeting specialty drugs and broader drug management needs for organizations.
• Build and extend LLM-backed capabilities on AWS Bedrock and related models • Implement document OCR and extraction for clinical and claims paperwork • Develop summarization and decision-support tools for clinical review • Build Knowledge Bases for retrieval over plan and policy documents • Automate workflows for internal teams • Establish and maintain evaluations for shipped AI features and monitor quality drift • Handle production AI concerns including structured output, failure modes, cost, latency, and deterministic alternatives • Use Claude Code and Kiro as core agentic coding tools and verify their output • Design, build, test, and ship features in the Python and FastAPI backend on MySQL and AWS • Develop within the Jinja2, Tailwind, and Alpine.js front end • Fix broken functionality before adding new features • Work with integrations exchanging eligibility, accumulator, and claim data with carriers and pharmacies • Support NCPDP D.0 and X12 270/271 transactions and related file formats • Establish missing test and lint gates and treat CI as part of the definition of done • Treat PHI handling as a first-class design constraint • Write clear specifications, prompts, and design notes • Work with clinical teams initially, followed by other business areas as the platform stabilizes • Report to the Head of Engineering and work directly with business owners • Participate in HR, technical, leadership, and business interviews, including a practical exercise and on-site visit
• 7+ years building production software, with real ownership of systems that other people depend on • Strong Python with production FastAPI or comparable async framework experience • Solid SQL on MySQL or Postgres • Working knowledge of AWS • Comfortable with server-rendered front end using Jinja2, Tailwind, Alpine.js or htmx • Fluent in Linux for development and comfortable working from a Windows workstation over remote desktop into a secure environment • Daily use of AI coding tools on real work • At least one LLM-powered feature shipped to real users, including evaluation experience • Practical knowledge of prompt and context engineering, retrieval, embeddings, and structured output • Working knowledge of healthcare data exchange standards and file-based integrations: NCPDP D.0, X12 270/271, SFTP, fixed-width and delimited formats, and reconciliation • Direct communication style and ability to name tradeoffs plainly and ask when something is unclear • Healthcare or other regulated-data experience, including HIPAA, PHI, or SOC 2, is nice to have • Pharmacy benefits, claims, or clinical program experience is nice to have • Self-hosting open-source models with vLLM, Ollama, or TGI, including GPU sizing, quantization, and private-network serving, is nice to have • Fine-tuning or adapter training on domain data is nice to have • Classical ML for prediction or scoring using scikit-learn or XGBoost, with production model monitoring, is nice to have • Master's degree in computer science or related field is nice to have • Must be currently authorized to work in the United States without employer support, visa transfer support, DSO documentation, or sponsorship now or in the future
• Bonus Eligible • Medical insurance • Pharmacy insurance • Dental insurance • Vision insurance • Life insurance • Stock options • 401(k) with Company Match • PTO • Dynamic, collaborative work environment • Opportunity to make a real impact at a growing Public Benefit Corporation
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