Healthcare Application Developer (AWS / Clinical AI)

Healthcare Application Developer (AWS / Clinical AI)

Industry: Healthcare / Home Health / Hospice / Clinical Documentation

About the Project

We are building a next-generation healthcare application that aimed at reducing the caregiver documentation burden by automating much of the clinical documentation for home health and related care settings. The platform ingests audio recordings, images, PDFs, and Word documents, extracts structured patient and clinical data, updates a secure clinical database, and automatically generates the initial OASIS forms and other patient documentation—with clinician review and compliance at the core.

This is a production healthcare system, not a prototype. Accuracy, security, and regulatory compliance are critical.

What You’ll Be Responsible For

• Designing and building AWS-based backend services to ingest and process:
  • Audio files (clinical visit recordings)
  • Images (scanned documents, photos)
  • PDFs and Word documents
• Implementing speech-to-text, OCR, and document parsing pipelines
• Extracting structured clinical data (vitals, meds, assessments, interventions, etc.)
• Updating a secure patient clinical database
• Generating OASIS (E1/E2) forms and other patient documentation
• Integrating AI/ML and LLM-based extraction with deterministic validation
• Building human-in-the-loop workflows for clinical review and approval
• Ensuring HIPAA-compliant architecture, security, and auditability
• Collaborating with clinical and product stakeholders to refine workflows

Required Skills & Experience

AWS & Backend

• Strong experience with AWS (production systems)
  • Lambda, Step Functions, S3, SQS/SNS
  • RDS (PostgreSQL) and/or DynamoDB
  • IAM, KMS, CloudWatch, CloudTrail
• API design (REST, JSON, authentication)

AI / Data Extraction

• Speech-to-text pipelines (medical or clinical preferred)
• OCR and document parsing (images, PDFs, Word docs)
• Structured data extraction (JSON-based outputs)
• Experience integrating LLMs or NLP pipelines in production systems

Healthcare & Compliance

• Experience with healthcare applications (EHR, EMR, clinical documentation, billing, etc.)
• Understanding of HIPAA requirements and secure data handling
• Familiarity with OASIS forms or clinical assessment workflows is a major plus

General Engineering

• 4+ years in software engineering with at least 2 years in AI/ML development.
• Proficiency in both Python or Java, with experience developing and maintaining production software in one of these languages.
• Strong knowledge of data engineering, model deployment, and MLOps.
• Strong data modeling skills
• Validation and error-handling for real-world clinical data
• Experience building scalable, auditable systems

Strongly Preferred (Nice to Have)

• Experience with:
  • Amazon Transcribe Medical
  • Amazon Comprehend Medical
  • Amazon Bedrock or similar LLM platforms
• Help if you have knowledge of:
  • Patient documentation
  • OASIS-E1 / OASIS-E2
  • ICD-10, SNOMED, RxNorm (at least familiarity)
• Healthcare startup or regulated SaaS experience
• Prior work on clinical NLP or medical documentation automation

What We Care About

• Accuracy over hype — no “black box” AI
• Compliance-first design
• Clean, maintainable, well-documented code
• Understanding that clinical software must be trusted by nurses and auditors
• Willingness to collaborate with clinicians, not just engineers

What We Offer

• Competitive compensation
• Flexible remote work
• Vacation and Sick pay via Paid Time Off (PTO)
• Nine paid holiday days off
• Health & Life, LTD, STD Insurance
• Opportunity to build a mission-critical healthcare platform
• Direct impact on clinician efficiency and patient care
• Long-term product roadmap, not a short-term experiment
• Work directly with senior management and the company founder