Senior Software Engineer, Applied AI

Posted 2 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
165K-205K Annually
Senior level
Healthtech • Pharmaceutical
The Role
Build and ship production AI capabilities using AWS Bedrock, including clinical document extraction, summarization, retrieval, decision support, and workflow automation. Develop Python and FastAPI applications, integrations, tests, CI gates, and evaluation systems. Work with healthcare data standards, PHI, AWS, MySQL, and server-rendered front ends. Use and verify AI coding tools while communicating tradeoffs clearly in a remote, Linux-based environment.
Summary Generated by Built In
Company Description

About VIVIO 

VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. 

Why Join VIVIO? 

  • Innovation: Challenge the status quo and shape healthcare's future 
  • Impact: Directly influence patient care and help change healthcare delivery 
  • Collaboration: Work with passionate teammates dedicated to making a difference 
  • Culture: Enjoy autonomy and reliability in a micromanagement-free environment 
  • Growth: Expand your opportunities as we expand our business  

Job Description

About the role 

VIVIO Health is transforming how it operates with AI, and we are hiring a senior engineer to build the features that make that real: language-model capabilities for our clinical, client success, and member experience teams, built on AWS Bedrock and related models and shipped to real users. Your job is to take a business problem from one of those teams, work out where a model helps and where it does not, and deliver something the team uses every day. This is not a research role. The AI work lives inside our production platform, so you will also ship application features, work with the integrations that exchange data with our partners and build the test and quality practices that keep all of it reliable. 

Our clinical programs are the first area we are transforming with AI, so your early work will be with the clinical team and the documents, reviews, and decisions that run through it. Other business areas follow as the platform stabilizes. 

The role is remote, with structured written communication as the default working mode. You report to the Head of Engineering and work directly with the business owners of the problems you solve. 

What you will do 

  • Build and extend LLM-backed capabilities on AWS Bedrock and related models: document OCR and extraction on clinical and claims paperwork, summarization and decision support for clinical review, Knowledge Bases for retrieval over plan and policy documents, and workflow automation for internal teams 
  • Establish and maintain evals for the AI features you ship, so we know when quality drifts 
  • Handle the practical side of production AI: structured output, failure modes, cost, latency, and knowing when a deterministic approach beats a model 
  • Use agentic coding tools (Claude Code and Kiro) as a core part of your workflow, and own the verification of what they produce 
  • Design, build, test, and ship features in our Python and FastAPI back end on MySQL and AWS, and our Jinja2, Tailwind, and Alpine.js front end, with a bias toward fixing what is broken before adding what is new 
  • Work with the integrations that exchange eligibility, accumulator, and claim data with carriers and pharmacies, including NCPDP D.0 and X12 270/271 transactions and the file formats behind them 
  • Put test and lint gates in place where they are missing, and treat CI as part of the definition of done 
  • Treat PHI handling as a first-class design constraint in everything you build 
  • Write clear specs, prompts, and design notes; at this level, written communication is an engineering skill 

How we work 

Development happens in a managed Linux environment that you reach by remote desktop from a Windows endpoint; PHI never lands on a laptop. You need to be fluent in both: Linux for the actual engineering, Windows as the workstation you get there from. 

Qualifications

What we need 

  • 7+ years building production software, with real ownership of systems that other people depend on 
  • Strong Python with production FastAPI (or a comparable async framework) experience, solid SQL on MySQL or Postgres, and working knowledge of AWS 
  • Comfortable in a server-rendered front end (Jinja2, Tailwind, Alpine.js or htmx); we are not looking for a React specialist 
  • 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, and a clear point of view on where they help and where they fail 
  • At least one LLM-powered feature shipped to real users, including how you evaluated it and what went wrong 
  • 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 communicator who names tradeoffs plainly and asks when something is unclear 

Nice to have 

  • Healthcare or other regulated-data experience (HIPAA, PHI, SOC 2) 
  • Pharmacy benefits, claims, or clinical program experience 
  • Self-hosting open-source models (Llama, Qwen, Mistral, or similar) with vLLM, Ollama, or TGI, including GPU sizing, quantization, and serving inside a private network 
  • Fine-tuning or adapter training on domain data 
  • Classical ML for prediction or scoring (scikit-learn, XGBoost), with model monitoring in production 
  • Master's degree in computer science or a related field 

How we hire 

An HR phone screen, a technical interview that includes a short practical exercise (extract structured data from messy documents and show us your evals), a conversation with the Head of Engineering, and a final conversation with one or more of the business leaders you would support. Our interviews are a mix of phone calls, Video interviews and an on-site visit to our corporate office.

VIVIO does not provide employer support or sponsorship for any immigration related employment benefit for this role. 

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support, visa transfer support, DSO documentation or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for VIVIO support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, E-2, E-3 etc.) now or in the future. 

Additional Information

Compensation and Benefits:

  • The anticipated salary range for this position is $165K-$205K base. The actual salary offered will be determined by a variety of factors, including the candidate’s qualifications, experience, and the position's geographic location. 
  • Bonus Eligible 
  • Comprehensive Benefits Package: 
  • Medical, Pharmacy, Dental, Vision 
  • Life Insurance 
  • Stock Options 
  • 401(k) with Company Match 
  • PTO 
  • Full-time position 
  • Dynamic, collaborative work environment 
  • Opportunity to make a real impact at a growing Public Benefit Corporation 

VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. 

Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

Skills Required

  • 7+ years building production software with ownership of systems used by others
  • Strong Python experience with production FastAPI or a comparable asynchronous framework
  • Solid SQL experience with MySQL or PostgreSQL
  • Working knowledge of AWS
  • Experience with server-rendered front ends using Jinja2, Tailwind, Alpine.js, or htmx
  • Fluency in Linux development environments and comfort using a Windows workstation through remote desktop
  • Daily use of AI coding tools in real work, with an understanding of their strengths and limitations
  • At least one LLM-powered feature shipped to real users, including experience evaluating it and addressing failures
  • Practical knowledge of prompt engineering, context engineering, retrieval, embeddings, and structured output
  • Working knowledge of healthcare data exchange standards and file-based integrations, including NCPDP D.0, X12 270/271, SFTP, fixed-width and delimited formats, and reconciliation
  • Clear, direct written and verbal communication, including the ability to explain tradeoffs and ask for clarification
  • Experience with healthcare or other regulated data, including HIPAA, PHI, or SOC 2
  • Pharmacy benefits, claims, or clinical program experience
  • Experience self-hosting open-source models such as Llama, Qwen, or Mistral with vLLM, Ollama, or TGI
  • Experience with GPU sizing, quantization, and private-network model serving
  • Fine-tuning or adapter training on domain data
  • Classical machine learning experience with scikit-learn or XGBoost and production model monitoring
  • Master's degree in computer science or a related field
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Leandro, CA
34 Employees
Year Founded: 2016

What We Do

We use data to understand what specialty drugs do at the individual, not population level. Our specialty drug management product, VIVIO Precision Care™ fixes big unsolved healthcare problems: expensive drug therapies that don’t work; lack of real-world effectiveness; doctors prescribing based on opinion and experience instead of data; the arbitrary line between pharmacy drug and medical benefit; and, egregious supply chain waste. We replace the current pharma-centric therapeutic model with our data-centric one and drive better patient outcomes without overpaying. Employees and physicians have access to the right drugs based on individual data rather than self-serving policies. Typically, we save large and mid-sized self-insured employers 25-35% of their current spend.

Similar Jobs

Bot Auto Logo Bot Auto

Senior Software Engineer

Logistics • Transportation
In-Office or Remote
7 Locations
76 Employees
160K-220K Annually

TLDR Media Logo TLDR Media

Senior Software Engineer

AdTech • Digital Media
Remote
USA
25 Employees
250K-300K Annually

SmarterDx Logo SmarterDx

Senior Software Engineer

Artificial Intelligence • Healthtech • Software
Remote
United States
530 Employees
190K-230K Annually

Similar Companies Hiring

Sailor Health Thumbnail
Healthtech • Social Impact • Telehealth
New York City, NY
20 Employees
Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
OneImaging Thumbnail
Healthtech
Miami, FL
62 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account