Senior Software Engineer, Applied AI

VIVIO, a Public Benefit Corporation

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

Posted 10/8/2026full-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 managing production AI concerns and implementing healthcare data exchange standards while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python DevelopmentFastAPI FrameworkAWS BedrockHealthcare Data Exchange StandardsAI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIMySQLSQLAWSJinja2TailwindAlpine.jsDocument OCRPrompt Engineering

Soft Skills

Direct CommunicationCollaboration

Tools & Technologies

Claude CodeKiroLinuxWindows WorkstationSFTP

Industry Keywords

NCPDP D.0X12 270/271PHIHIPAASOC 2

Tech Stack

Tools & technologies

AWSJavaScriptLinuxMySQLPostgresPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

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