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VIVIO, a Public Benefit Corporation

Senior Software Engineer, Applied AI

VIVIO, a Public Benefit Corporation

. Build and extend LLM-backed capabilities on AWS Bedrock and related models .

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $165,000 - $205,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and extending LLM-backed capabilities on AWS, with strong proficiency in Python and FastAPI for backend development. Capable of implementing document OCR, automating workflows, and ensuring compliance with healthcare data exchange standards.

Highest-signal resume keywords
Python DevelopmentFastAPI FrameworkAWS BedrockHealthcare Data Exchange StandardsDocument OCR Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonFastAPISQLMySQLAWSDocument OCRAI Coding ToolsPrompt EngineeringNCPDP D.0X12 270/271
Soft Skills
Direct CommunicationProblem-Solving
Tools & Technologies
Jinja2TailwindAlpine.jsLinuxWindows Workstation
Industry Keywords
HIPAAPHISOC 2Pharmacy BenefitsClinical Program

Tech Stack

Tools & technologies
AWSJavaScriptLinuxMySQLPostgresPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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