Senior Backend Python Engineer

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Requirements:

• 8+ 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
• Hands-on experience integrating and optimizing Large Language Models (LLMs) in production environments
• Proficiency with LLM tools and techniques such as LangChain, LlamaIndex, Prompt Engineering
• Experience implementing Retrieval-Augmented Generation (RAG) systems
• Familiarity with vector databases and efficient similarity search techniques for AI applications
• Experience with message queuing systems and data streaming platforms
• Familiarity with data processing and analytics technologies
• Proven track record of high-quality coding and architectural design
• Passion for creating robust, scalable, AI-driven systems that make a real-world impact on healthcare

Responsibilities:

• 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
• Participate in code reviews to ensure high code quality, maintainability, and adherence to best practices across the team