Senior Software Engineer, Applied AI

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $165k - $205k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VIVIO, a Public Benefit Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 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.

📋 Description

• Build and extend LLM-backed capabilities on AWS Bedrock and related models • Develop document OCR and extraction for clinical and claims paperwork • Build summarization and decision support for clinical review • Create 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 • Manage 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/FastAPI back end, MySQL, AWS, Jinja2, Tailwind, and Alpine.js stack • Work with eligibility, accumulator, and claim-data integrations with carriers and pharmacies, including NCPDP D.0 and X12 270/271 transactions • Implement missing test and lint gates and treat CI as part of the definition of done • Handle PHI as a first-class design constraint • Write clear specifications, prompts, and design notes • Collaborate with clinical, client success, member experience, business owners, and engineering stakeholders • Report to the Head of Engineering • Participate in HR screening, technical exercise, engineering leadership interview, business-leader conversations, video interviews, and an on-site corporate-office visit

🎯 Requirements

• 7+ years building production software • Strong Python with production FastAPI or comparable async framework experience • Solid SQL on MySQL or Postgres • Working knowledge of AWS • Experience with server-rendered front ends using Jinja2, Tailwind, Alpine.js, or htmx • Fluent in Linux development and comfortable using 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 plainly name tradeoffs and ask for clarification • Applicants must be currently authorized to work in the United States full-time without employer support, visa transfer support, DSO documentation, or sponsorship now or in the future • Nice to have: healthcare or other regulated-data experience, including HIPAA, PHI, or SOC 2 • Nice to have: pharmacy benefits, claims, or clinical program experience • Nice to have: self-hosting open-source models such as Llama, Qwen, or Mistral with vLLM, Ollama, or TGI, including GPU sizing, quantization, and private-network serving • Nice to have: fine-tuning or adapter training on domain data • Nice to have: classical ML for prediction or scoring with scikit-learn or XGBoost and production model monitoring • Master's degree in computer science or related field is nice to have

🏖️ Benefits

• 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