Staff Engineer, Citizen Health

• 7+ years of experience in backend development, with a focus on building scalable, distributed systems
• Strong proficiency in one or more modern programming languages (e.g., Node.js, Java, Python)
• Experience with healthcare interoperability standards, particularly FHIR
• Strong understanding of RESTful API design and microservices architectures
• Experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes)
• Proficiency in working with both relational and NoSQL databases

Desirable

• We're seeking a Staff Backend Engineer to lead the development of our robust, scalable backend systems that power our patient-centric platform.
• This role is crucial in designing and implementing the core infrastructure that enables seamless data integration, analysis, and AI-driven insights across our ecosystem
• As a key technical leader, you'll be at the forefront of leveraging healthcare interoperability standards, including FHIR (Fast Healthcare Interoperability Resources), and state-of-the-art AI technologies to build innovative solutions that directly impact rare disease research and patient care
• Your work will be instrumental in translating complex health data into actionable insights, facilitating groundbreaking research, and enabling the seamless flow of information between patients, healthcare providers, and researchers using advanced AI techniques
• Architect and implement high-performance, scalable backend solutions using modern technologies, healthcare interoperability standards like FHIR, and advanced AI/ML technologies
• Lead the design and development of RESTful APIs and microservices that support our patient, partner, and internal-facing applications
• Integrate and optimize AI models, particularly Large Language Models (LLMs), using frameworks like LangChain and LlamaIndex
• Implement Retrieval-Augmented Generation (RAG) systems to enhance the accuracy and relevance of AI-generated insights in the healthcare context
• Design and implement efficient data pipelines to support AI model training and inference
• Optimize data processing and storage solutions to handle large volumes of complex health data efficiently
• Collaborate with data scientists and researchers to implement advanced analytics and AI models that derive insights from patient data
• Ensure the highest standards of data security and privacy compliance
• Lead efforts to enhance system reliability and performance, including implementing monitoring, logging, alerting and auto scaling systems for both traditional backend services and AI components
• Mentor junior backend developers and contribute to the team's technical growth
• Participate in code reviews to ensure high code quality, maintainability, and adherence to best practices across the team
• Stay current with backend best practices, emerging AI technologies, and industry trends, particularly those relevant to healthcare interoperability and AI in healthcare