Senior AI Engineer

Summary: This position involves developing and deploying advanced AI solutions to enhance clinical workflows, fostering technical excellence and collaboration within the engineering team.Responsibilities:* Design, build, and deploy scalable AI solutions, including Agentic AI and LLM multimodal chatbots.* Mentor engineers and data teams to promote technical excellence and innovation.* Architect and manage AI/ML infrastructure using Azure or On-Prem Openshift with Kubernetes.* Optimize model deployments for low-latency and high-throughput applications.* Establish frameworks for model evaluation, validation, and monitoring ensuring fairness and transparency.* Drive a modern AI development lifecycle utilizing coding assistants and uphold a strict PR-based workflow.* Implement Knowledge Graphs and LLMs for biomedical data modeling.* Develop Reinforcement Learning models for Clinical Decision Support Systems.* Collaborate with cross-functional teams to ensure AI solutions integrate into clinical workflows using FHIR/HL7 standards.Must Haves:* Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field.* 6+ years in AI, machine learning, or data science with a track record of impactful solutions.* Experience deploying machine learning models in production using Kubernetes.* Knowledge of optimizing GPU inferencing and performance tuning specific to frameworks.* Proficiency in model evaluation techniques and AI explainability methods.* Experience with AI-assisted development tools like Cursor and GitHub Copilot.* Familiarity with automated testing frameworks and CI/CD practices.* Expertise with Knowledge Graphs and graph databases such as TigerGraph or Neo4j.* Familiarity with Reinforcement Learning concepts.* Proficiency in Python and ML/Data Science libraries.* Strong experience with cloud platforms (AWS, Azure, GCP).