AI Developer / AI Systems Engineer
Location: Tampa, FL
Reports to: Strategy & Informatics Officer
Role Summary
The AI Developer / AI Systems Engineer is responsible for designing, developing, deploying, and maintaining AI-driven systems that power eMerge’s AI-native multi-specialty practice model. This role blends machine learning, agentic AI, workflow automation, cloud engineering, and healthcare IT integration to support multi-state clinical operations.
The ideal candidate is a hands-on builder who thrives in regulated environments, understands clinical workflows, and can architect scalable solutions in the Microsoft Azure ecosystem.
Key Responsibilities
- AI Model Development — Build, train, and evaluate machine learning, deep learning, and LLM-based models for podiatry workflows, documentation, coding, triage, and operational automation.
- Agentic AI Systems — Develop autonomous agents for scheduling, intake, documentation, quality review, RCM, and patient communication.
- ML Ops & Production Deployment — Convert prototypes into production-ready solutions using CI/CD pipelines, containerization, and Azure-native deployment patterns.
- Healthcare IT Integration — Integrate AI systems with EHR, RCM platforms, imaging workflows, and multi-specialty operations using FHIR, HL7, REST APIs, and secure data pipelines.
- Workflow Automation — Build automations using Azure Functions, event-driven architecture, and cloud orchestration to reduce administrative burden.
- Data Engineering Collaboration — Partner with outside data engineers to design pipelines for structured/unstructured clinical data, imaging, and operational datasets.
- Cloud Architecture — Deploy AI systems using Azure AI Services, AKS, serverless compute, vector databases, and secure identity frameworks.
- Responsible AI & Compliance — Ensure all AI systems meet HIPAA, CMS billing rules, state regulations, and eMerge’s Responsible AI Framework.
- Continuous Improvement — Monitor model drift, retrain models, and stay current with emerging AI technologies relevant to ambulatory care and podiatry.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field; Master’s preferred.
- 3–7+ years of experience in AI/ML engineering, ideally in healthcare or other regulated industries.
- Strong programming skills.
- Experience with modern LLM frameworks.
- Experience deploying AI systems in Azure (Azure AI, AKS, Azure Functions, Azure DevOps).
- Experience with healthcare data and interoperability standards and terminologies such as HL7®, FHIR®, LOINC®, and SNOMED.
- Familiarity with medical coding systems such as ICD-10, CPT, and DRGs.
- Experience with vector databases, RAG pipelines, and embedding models.
- Strong understanding of HIPAA, PHI handling, CMS billing rules, and clinical workflow constraints.
- Experience with data visualization tools such as Tableau®, PowerBI or equivalent.
- Excellent problem-solving skills and ability to deconstruct ambiguous questions into actionable analytical tasks.
- Knowledge of user-centered design principles and agile development methodologies.
- Strong communication skills and ability to translate between clinical, technical, and business contexts.
- Ability to work in a fast-paced, AI-native startup environment with evolving workflows.
Preferred Qualifications
- Experience with biomechanics or ambulatory specialty workflows.
- Experience integrating AI systems with EHRs such as Ethizo, PCC, Epic, or Athena.
- Experience with Microsoft Graph, Power Platform, or enterprise identity/security frameworks.
- Experience building agentic systems or multi-agent orchestration frameworks.
- Experience in multi-state healthcare operations or regulatory environments.
What Success Looks Like
- AI agents reliably automate administrative tasks and workflows.
- Clinical and operational teams experience measurable reductions in administrative burden.
- AI systems integrate seamlessly with EHR and other core platforms.
- eMerge scales to multi-state, multi-specialty operations with consistent AI-driven workflows.
- Responsible AI principles are embedded into every model and automation.
Why Join eMerge
eMerge is building a frontier firm practice model, combining clinical excellence with intelligent automation. You will help architect the AI backbone of a multi-state, next-generation healthcare organization working directly with leadership to shape the future of clinical care and outcomes.
Pay: $135,000.00 - $165,000.00 per year
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: In person