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Senior Software Engineer, Applied AI
VIVIO, a Public Benefit Corporation. Build and extend LLM-backed capabilities on AWS Bedrock and related models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSJavaScriptLinuxMySQLPostgresPythonScikit-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