AI Engineer

Job Summary We are seeking an experienced AI Software Engineer to design, develop, and deploy Decision Intelligence and AI-enabled products. The role will contribute across the full product lifecycle, working with engineers, data scientists, and product managers to build scalable AI/ML solutions that support patient care, team member and patient experience, and clinical operations. The ideal candidate will have hands-on experience with healthcare Agentic AI projects, knowledge graphs, GraphRAG, Python/PySpark, Java, public cloud, and production AI/ML deployments. Key Responsibilities Collaborate with product teams to design, develop, and deploy Decision Intelligence and AI-enabled products. Guide architecture, infrastructure, tools, and engineering processes for AI/ML products. Design and implement knowledge graph solutions, preferably using Neo4j, for production AI/ML applications. Implement GraphRAG solutions in production AI/ML products to improve LLM response quality. Design and implement scalable and efficient MLOps pipelines for large volumes of data. Standardize, optimize, and scale AI/ML products in production environments. Develop rapid prototypes to evaluate technical feasibility and potential solutions. Design and develop APIs for production-scale AI/ML applications. Apply containerization and DevSecOps practices to support secure and scalable deployments. Collaborate with engineers, data scientists, and product managers throughout the product lifecycle. Stay current with emerging data platforms, AI/ML technologies, tools, techniques, and industry trends. Required Qualifications Bachelor's degree in Engineering, Computer Science, or a related field. 6+ years of experience in software engineering, data engineering, or machine learning engineering. 3+ years of experience in data science or artificial intelligence. Hands-on experience working on healthcare Agentic AI projects. 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, preferably Azure. Experience with containerization and DevSecOps practices. Experience working with semi-structured file formats and NoSQL databases. Strong understanding of API design, development, and production deployment at scale. Hands-on experience implementing knowledge graphs, preferably Neo4j, in production solutions. Hands-on experience implementing GraphRAG in production AI/ML products to improve LLM responses. Strong understanding of AI/ML product development and production deployment practices. Preferred Qualifications Experience in the healthcare industry. Knowledge of medical terminology and clinical workflows. Contributions to open-source AI/ML projects. Master's degree in a relevant field. Primary Skills Healthcare Agentic AI Python/PySpark Java Knowledge Graphs / Neo4j GraphRAG LLM Applications React / Angular HTML / CSS / JavaScript Azure / Public Cloud MLOps Containerization DevSecOps API Development NoSQL Databases Education: Bachelors Degree, Masters Degree