MARSIE is a quality software development company that combines expertise in IT with a passion for research and problem solving. Founded by a group of engineers with extensive industry experience, their mission is to deliver tailored solutions that add value to complex projects. MARSIE emphasizes collaboration, continuous improvement, and ethical values, ensuring a positive impact on both clients and their team. They focus on building strong partnerships through their innovative service delivery model and prioritize the well-being of their employees to create a supportive work environment.
February 5
MARSIE is a quality software development company that combines expertise in IT with a passion for research and problem solving. Founded by a group of engineers with extensive industry experience, their mission is to deliver tailored solutions that add value to complex projects. MARSIE emphasizes collaboration, continuous improvement, and ethical values, ensuring a positive impact on both clients and their team. They focus on building strong partnerships through their innovative service delivery model and prioritize the well-being of their employees to create a supportive work environment.
β’ Architect and implement high-performance, scalable backend solutions using modern technologies, healthcare interoperability standards like FHIR, and advanced AI/ML technologies β’ Lead the design and development of RESTful APIs and microservices that support our patient, partner, and internal-facing applications β’ Integrate and optimize AI models, particularly Large Language Models (LLMs), using frameworks like LangChain and LlamaIndex β’ Implement Retrieval-Augmented Generation (RAG) systems to enhance the accuracy and relevance of AI-generated insights in the healthcare context β’ Design and implement efficient data pipelines to support AI model training and inference β’ Optimize data processing and storage solutions to handle large volumes of complex health data efficiently β’ Collaborate with data scientists and researchers to implement advanced analytics and AI models that derive insights from patient data β’ Ensure the highest standards of data security and privacy compliance β’ 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 β’ Participate in code reviews to ensure high code quality, maintainability, and adherence to best practices across the team.
β’ 8+ years of experience in backend development, with a focus on building scalable, distributed systems β’ Strong proficiency in one or more modern programming languages (e.g., Node.js, Java, Python) β’ Experience with healthcare interoperability standards, particularly FHIR β’ Strong understanding of RESTful API design and microservices architectures β’ Experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes) β’ Proficiency in working with both relational and NoSQL databases β’ Hands-on experience integrating and optimizing Large Language Models (LLMs) in production environments β’ Proficiency with LLM tools and techniques such as LangChain, LlamaIndex, Prompt Engineering β’ Experience implementing Retrieval-Augmented Generation (RAG) systems β’ Familiarity with vector databases and efficient similarity search techniques for AI applications β’ Experience with message queuing systems and data streaming platforms β’ Familiarity with data processing and analytics technologies β’ Proven track record of high-quality coding and architectural design β’ Passion for creating robust, scalable, AI-driven systems that make a real-world impact on healthcare β’ Written and spoken communication skills in English and Spanish.
β’ Fully remote work β’ Fixed monthly compensation in USD. β’ Full-time, long-term contract. β’ Paid Time Off (PTO) & Paid Local National Holidays.
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