Principal Developer - Solution Architect (Healthcare EMR/EHR, Ophthalmology)

Saviance

$135K — $160K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience as a Solution Architect or as a Principal Developer/Tech Lead with hands-on coding duties.
  • Direct experience with OpenEMR, including implementation and configuration tasks.
  • In-depth understanding of EMR/EHR systems within healthcare settings.
  • Familiarity with ophthalmology-specific workflows and challenges in EMR/EHR integration.
  • Strong skills in software architecture combined with active production code writing experience.
  • Hands-on usage of AI development tools like Claude Code in workflows.
  • Knowledge of healthcare data standards and interoperability.
  • Excellent communication skills for cross-functional collaboration.

Responsibilities

  • Architect and develop solutions that integrate EMR/EHR systems with ophthalmology workflows.
  • Engage hands-on with OpenEMR for customization and integration tasks.
  • Implement and code architectural designs directly rather than delegating work.
  • Write, review, and contribute to the codebase while making architectural decisions.
  • Utilize AI tools to enhance the development process and improve workflow efficiency.
  • Evaluate and integrate LLM capabilities to improve clinical workflows in ophthalmology.
  • Collaborate with various stakeholders to develop technical solutions that meet healthcare needs.
  • Provide technical leadership at a hands-on level while guiding best practices in development.

Benefits

  • Remote work flexibility from India during UK hours.
  • Opportunity for hands-on experience with innovative tools in a growing field.
  • Collaboration with cross-functional teams including product and clinical stakeholders.
  • Engagement in a meaningful project that enhances healthcare delivery.
Full Job Description
Principal Developer - Solution Architect (Healthcare EMR/EHR, Ophthalmology)

Location: Remote (India)
Type of Role: Full Time
Working hours - UK Shift


Overview

An organization is seeking a hands-on Principal Developer / Solution Architect to help design and build technical solutions at the intersection of healthcare EMR/EHR systems and ophthalmology-specific workflows. This role sits at a tech lead / solution architect level but must remain fully hands-on - actively writing code, architecting solutions, and directly contributing to development on a day-to-day basis, using AI development tools and LLM-powered workflows to enhance speed and quality. This is not an oversight-only or purely advisory position; candidates who have moved away from hands-on coding into management-only roles are not a fit. The ideal candidate has direct, hands-on experience with OpenEMR, strong AI/LLM fluency, and understands how ophthalmology practices and EHR/EMR systems integrate, including ophthalmology-specific clinical workflows and data structures.

Key Responsibilities
  • Architect and personally build technical solutions integrating with EMR/EHR systems, with a focus on ophthalmology workflows.
  • Work directly, hands-on, with OpenEMR (or similar open-source/commercial EMR platforms), including configuration, customization, and integration.
  • Design system architecture while remaining actively hands-on in implementation and coding - not delegating core development work.
  • Write and review code, contributing directly to the codebase alongside architectural decision-making.
  • Use AI development tools and coding assistants (e.g., Claude Code or similar) as part of the day-to-day development workflow to accelerate coding, debugging, and architecture work.
  • Evaluate and integrate LLM-powered features or capabilities into the platform where relevant to ophthalmology triage, diagnosis support, or clinical workflows.
  • Collaborate with product, clinical, and engineering stakeholders to translate healthcare and ophthalmology-specific requirements into technical solutions.
  • Guide technical direction and best practices at a tech lead level, while remaining a primary hands-on contributor.
  • Ensure EMR/EHR integrations meet healthcare data standards and interoperability requirements.
  • Troubleshoot and resolve complex technical issues directly, through hands-on debugging and problem-solving.
  • Document architecture decisions, integration patterns, and technical designs.

Required Experience & Skills
  • Experience at a Solution Architect level, or one level below (e.g., Principal Developer / Tech Lead) - must be actively hands-on in coding and development, not solely in an oversight or advisory capacity.
  • Direct, hands-on experience with OpenEMR, including real implementation and integration work.
  • Hands-on experience working with EMR/EHR systems in a healthcare setting.
  • Hands-on experience with ophthalmology-related EMR/EHR workflows or integrations.
  • Strong software architecture and system design skills, combined with a proven, current track record of writing production code.
  • Hands-on experience using AI development tools (e.g., Claude Code or similar) in a real development workflow.
  • Practical experience working with LLMs - integrating LLM APIs, prompt engineering, or building LLM-powered features within a production application.
  • Hands-on experience integrating third-party or custom systems with EMR/EHR platforms.
  • Strong understanding of healthcare data standards and interoperability considerations.
  • Strong communication skills to work with both technical and clinical/product stakeholders.
  • Ability to work independently in a remote environment.

Nice to Have
  • Experience with additional EMR/EHR platforms beyond OpenEMR.
  • Familiarity with ophthalmology-specific clinical terminology, diagnostic codes, or exam documentation workflows.
  • Experience in a healthcare startup or fast-paced product environment.
  • Experience with healthcare interoperability standards (e.g., HL7, FHIR).
  • Experience applying LLMs or AI/ML models to clinical decision support, triage, or medical imaging use cases.
  • Familiarity with responsible AI practices in healthcare (e.g., bias mitigation, explainability, regulatory considerations for AI in clinical settings).

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