AI Engineer

Job Summary: We are seeking an experienced AI Software Engineer to design, develop, and deploy Decision Intelligence and AI-enabled products. These solutions support patient care, team member and patient experience, and clinical operations. The ideal candidate will work collaboratively with engineers, data scientists, and product managers throughout the product lifecycle, from ideation through production iteration. Key Responsibilities: Collaborate with product teams to design, develop, and deploy Decision Intelligence and AI-enabled products. Guide the architecture, infrastructure, tools, and processes for AI/ML products. Implement knowledge graphs, ideally using Neo4j, in solutions deployed to production. Implement GraphRAG in AI/ML products deployed to production to improve LLM responses. Design and implement scalable and efficient MLOps pipelines for large volumes of data. Standardize, optimize, and scale products in production environments. Develop rapid prototypes to experiment with solutions and evaluate feasibility. Stay current with the latest data platform and AI/ML tools, techniques, and industry trends. Required Qualifications: Bachelor's Degree in Engineering, Computer Science, or a similar field. Minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering. At least 3 years of experience in data science or artificial intelligence. Expert-level programming skills in Python/PySpark and Java. Experience building user interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular. Experience with public cloud platforms, ideally Azure. Proficiency with containerization and DevSecOps practices. Experience working with semi-structured file formats and NoSQL databases. Understanding of API design, development, and production deployment at scale. Experience implementing knowledge graphs, ideally using Neo4j, in production solutions. Experience implementing GraphRAG in AI/ML products deployed to production to improve LLM responses. Preferred Qualifications: Experience in the healthcare industry. Knowledge of medical terminology and clinical workflows. Contributions to open-source AI/ML projects. Master's degree. Education: Bachelors Degree