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Job Summary:

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. They are seeking an experienced Data Engineer / AI/ML Specialist to join the development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. The role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure needed to bring the MVP to life.

Responsibilities:

• Design, implement, and optimize OCR and data extraction pipelines for ingesting PDF referral forms and other healthcare documents.

• Develop data transformation and mapping processes to store extracted data into an Azure SQL schema.

• Build and maintain the medallion data architecture (Bronze/Silver/Gold) in Azure Data Lake Storage to support both application workflows and future analytics/model training.

• Implement and optimize search indexing (Azure AI Search) for both structured and unstructured data.

• Integrate Azure OpenAI or equivalent LLM services with retrieval-augmented generation (RAG) to support a natural language query feature.

• Implement initial predictive analytics models (fall risk, infection risk, medication cost forecasting) using heuristics or light ML models, with a path to more advanced modeling in Phase 2.

• Develop a compliance AI agent (MVP version) that runs scheduled checks on documentation and flags potential violations.

• Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized.

• Work in Azure DevOps with sprint-based development, pairing with backend/API developers on AI integration points.

• Participate in architecture/design reviews and provide input on data model decisions.

• Document pipelines, AI integrations, and data flows for future handoff to the client’s internal team.

• Support UAT for AI/data features, including tuning models and validating extracted data.

Qualifications:

Required:

• Hands-on experience with OCR (Azure Form Recognizer / Azure Document Intelligence) and unstructured data processing.

• Strong Python skills for AI pipeline and data processing development.

• Experience integrating LLMs (Azure OpenAI) with RAG patterns.

• Knowledge of basic predictive modeling techniques (classification, regression) and healthcare data compliance considerations.

• Proficiency with REST APIs for integrating external systems (e.g., pharmacy, insurance).

• Understanding of HIPAA compliance and secure handling of PHI.

• Familiarity with healthcare data formats and workflows (HL7, FHIR, eMAR).

• Prior experience working in agile, cross-functional product teams.

• Ability to deliver end-to-end—from data ingestion to model integration to API exposure.

• Strong documentation and knowledge transfer skills.

Preferred:

• Experience in healthcare software development (EHR, EMR, or related domains).

• Familiarity with vector search and semantic search concepts.

• Experience with Azure Machine Learning for model deployment.

• Background in predictive analytics for healthcare outcomes.

Company:

Atmosera help clients to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Founded in 1995, headquartered in Beaverton, Oregon, USA, team size 51-200 employees, currently Growth Stage.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeContract

Job function

• IndustriesSoftware Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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