## About the Role
Atmosera is seeking a mid-level Data Engineer & AI/ML Specialist to join a development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. This role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure required to bring the MVP to production readiness.
The position combines data engineering, AI/ML, healthcare data, cloud technologies, OCR, large language models, and API integration. The successful candidate will work across the full technical lifecycle, from healthcare document ingestion and data transformation through AI model integration, API exposure, search, compliance automation, testing, and documentation.
## Key Responsibilities
Design, implement, and optimize OCR and data extraction pipelines for PDF referral forms and other healthcare documents.
Develop data transformation and mapping processes to store extracted information in an Azure SQL schema.
Build and maintain Bronze/Silver/Gold medallion data architecture in Azure Data Lake Storage.
Support data architecture for both application workflows and future analytics and model training.
Implement and optimize search indexing using Azure AI Search for structured and unstructured data.
Integrate Azure OpenAI or equivalent LLM services using Retrieval-Augmented Generation (RAG) patterns.
Develop a natural language query capability using LLM and retrieval technologies.
Implement initial predictive analytics models for use cases such as:
Fall risk
Infection risk
Medication cost forecasting
Use heuristics or lightweight machine learning models initially, with a path toward more advanced modeling in future development phases.
Develop an initial compliance AI agent that performs scheduled documentation checks and flags potential violations.
Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized.
Work within Azure DevOps and sprint-based development processes.
Partner with backend and API developers on AI integration points.
Participate in architecture and design reviews.
Provide input into data model and data architecture decisions.
Document data pipelines, AI integrations, and data flows for future handoff to the client’s internal team.
Support User Acceptance Testing (UAT) for AI and data features.
Tune models and validate extracted healthcare data.
Deliver end-to-end solutions from data ingestion through model integration and API exposure.
## Required Qualifications
Hands-on experience with OCR and unstructured data processing.
Experience with Azure Form Recognizer / Azure Document Intelligence or comparable OCR technologies.
Strong Python development skills for AI pipelines and data processing.
Experience integrating Large Language Models (LLMs), including Azure OpenAI, using RAG patterns.
Knowledge of basic predictive modeling techniques, including:
Classification
Regression
Understanding of healthcare data compliance considerations.
Proficiency with REST APIs and external system integrations.
Understanding of HIPAA compliance and secure handling of Protected Health Information (PHI).
Familiarity with healthcare data formats and workflows, including:
HL7
FHIR eMAR
Experience working in Agile, cross-functional product teams.
Ability to deliver end-to-end solutions across data ingestion, AI/ML integration, and API exposure.
Strong documentation and knowledge-transfer skills.
## Preferred Qualifications
Experience in healthcare software development, including EHR, EMR, or related healthcare technology.
Familiarity with vector search and semantic search concepts.
Experience with Azure Machine Learning for model deployment.
Background in predictive analytics for healthcare outcomes.
## Skills & Competencies
Data Engineering
AI/ML Engineering
Python
OCR
Azure Document Intelligence
Azure Form Recognizer
Unstructured Data Processing
Data Extraction
Data Transformation
Azure SQL
Azure Data Lake Storage
Medallion Architecture
Bronze/Silver/Gold Data Architecture
Azure AI Search
Semantic Search
Vector Search
Azure OpenAI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Predictive Modeling
Classification
Regression
REST APIs
Healthcare Data
HL7
FHIR eMAR
HIPAA
Protected Health Information (PHI)
Azure DevOps
Agile Development
UAT
Model Integration
API Integration
Data Pipelines
AI Agents
Healthcare Compliance
## Education & Experience The source listing does not specify a required degree or a specific number of years of professional experience.
The position is identified as Mid-Senior level and requires hands-on experience across data engineering, AI/ML, healthcare data, OCR, LLM integration, cloud technologies, and API development.
## Work Arrangement & Employment Details
Work Arrangement: Remote
Location: Portland, Oregon, United States
Employment Type: Contract
Seniority Level: Mid-Senior level
Industry: Software Development The listing identifies the role as a remote position.
## Company Information
Atmosera provides cloud architecture services, including engineering, deployment, and operation of cloud environments and advanced technology services designed to support business outcomes.
The company was founded in 1995 and is headquartered in Beaverton, Oregon.
## Compensation & Benefits The source listing does not provide a specific compensation range for this position.
The listing includes inferred benefits such as:
Medical insurance
Vision insurance
401(k)
No additional benefit details are specified in the provided job information.