Senior AI Developer/Systems Engineer
Role details
Job location
Tech stack
Job description
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., · 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.
Requirements
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., · 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.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance, 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, * 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance