Gen AI Frontend Engineer

HERS Advisors is working with a client who is transforming the healthcare experience through responsible AI. They are building cutting-edge chatbot and concierge platforms, as well as intuitive interfaces for our ML models and data products that empower clinicians, staff, and patients. They are seeking a Generative AI Frontend Engineer to bring these experiences to life through elegant, accessible, and performant UIs. This is a unique opportunity to shape how AI is experienced in healthcare, working closely with our Data Science, Business and Clinical Operations teams. Experience Required:3+ years of experience developing front-end applications using modern frameworks (e.g., React, Angular, or Vue).

Education

• Required: Bachelor’s degree in Computer Science, Human-Computer Interaction, or a related field Training
• Required:
• Familiarity with design systems, UI frameworks, and accessibility (WCAG/ARIA).
• Strong experience with RESTful APIs, JSON, and front-end/backend integration.
• Experience using version control (e.g., Git) and agile development practices.
• Experience deploying apps using containerized environments (e.g., Docker, Kubernetes).

Preferred:

· Solid understanding of frontend security and authentication best practices.

• Experience working with machine learning and GenAI models applications (e.g., AWS and Azure AI marketplaces).

Specialized Skills

Required: Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

• Familiarity with healthcare interoperability standards (e.g., FHIR, HL7).
• Experience integrating with Epic or Cerner platforms.
• Exposure to MLOps, data visualization libraries (e.g., Plotly, D3.js), or analytics tools like Tableau or Streamlit.
• Understanding of HIPAA, PHI handling, and secure data workflows in healthcare environments.

Job Duties – What We Do (List all essential duties)

• Design and develop responsive, user-centric web applications and integrations of machine learning or GenAI tools (e.g., chatbots, AI agents, RAG models, etc.).
• Create seamless integrations with backend services, APIs, and EHR systems (e.g., Cerner, Epic).
• Contribute to the architectural decisions that scale and secure our AI frontend experiences.
• Transform end-user requirements and feedback into concrete, accessible, and functional user interface designs that meet clinical and administrative workflow needs.
• Participate in code reviews, prototyping, and user testing with clinicians and administrators.
• Implement telemetry and analytics for user behavior and product performance.
• Stay up to date with best practices in secure healthcare software development and compliance (e.g., HIPAA, CCPA, etc.)