Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.
We 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. This platform will combine core EHR functionality with real-time AI capabilities—including document ingestion pipelines, predictive analytics, and natural language search/chat—running on Microsoft Azure.
The contractor will be embedded in an agile co-development team, working closely with solution architects, backend/frontend developers, and DevOps engineers, as well as the client’s technical leadership and product owner. The role will own the design and delivery of the data pipelines, AI/ML integrations, and supporting infrastructure needed to bring the MVP to life.
Key Responsibilities
Data Engineering
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.
AI/ML Development
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.
Collaboration & Delivery
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.
Required Skills & Experience
Technical Expertise
Proven experience with Azure Data Services (Azure SQL, Data Lake Storage, Azure AI Search, Azure Functions).
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).
Healthcare & Compliance
Understanding of HIPAA compliance and secure handling of PHI.
Familiarity with healthcare data formats and workflows (HL7, FHIR, eMAR).
Collaboration & Delivery
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 Qualifications
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.
This is a contractor position in the United States with the ability to work from home but may require travel to a client site.
Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.
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