We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems. You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services. Responsibilities - Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance - Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services - Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks - Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization - Translate business requirements into technical AI solutions and define scalable implementation strategies - Ensure security, governance, and compliance across all AI solutions - Optimize AI systems for latency, cost, and accuracy in production environments - Provide technical leadership, mentor engineers, and drive best practices in system design and code quality

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems. You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services. Responsibilities - Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance - Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services - Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks - Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization - Translate business requirements into technical AI solutions and define scalable implementation strategies - Ensure security, governance, and compliance across all AI solutions - Optimize AI systems for latency, cost, and accuracy in production environments - Provide technical leadership, mentor engineers, and drive best practices in system design and code quality

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems. You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services. Responsibilities - Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance - Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services - Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks - Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization - Translate business requirements into technical AI solutions and define scalable implementation strategies - Ensure security, governance, and compliance across all AI solutions - Optimize AI systems for latency, cost, and accuracy in production environments - Provide technical leadership, mentor engineers, and drive best practices in system design and code quality

About the Company The next generation of independent cardiology is being built here. CardioOne is a physician-led, technology-driven cardiology platform built to empower independent practices to compete, and win, in a rapidly evolving healthcare landscape. Our mission is to provide cardiologists with the tools, infrastructure, and expertise they need to thrive while maintaining full clinical independence. We believe the best care is delivered by physicians who are empowered - not constrained - by the systems around them. We combine a deep bench of healthcare operators with purpose-built technology and AI-enabled solutions across operations, revenue cycle, imaging, and practice development. From real estate and advanced imaging to clinical workflows and data infrastructure, CardioOne delivers a fully integrated platform designed to drive growth, efficiency, and superior patient outcomes. Backed by WindRose Health Investors and leading healthcare executives, CardioOne is building one of the most sophisticated and scalable cardiology MSOs in the country - designed to reimagine what is possible for independent cardiology. About the Job CardioOne is seeking a Senior Software Engineer to lead and scale a high-performing backend and DevOps engineering team. In this pivotal role, you'll drive the delivery of scalable, secure, and reliable software systems that power our innovative virtual care platform. As a seasoned technical leader, you’ll be responsible for setting engineering best practices, guiding architectural decisions, and mentoring developers. This is a role with hands-on involvement in shaping product delivery, technical execution, and team growth as the company scales and will grow into a leadership position as the organization scales. You will report directly to the Director of Software Engineering. What you’ll do: - Manage the end-to-end lifecycle of applications, from development through deployment and operation - Guide the architecture, design, and implementation of scalable backend services, APIs, and microservices that support our platform and integrations with healthcare systems. - Write clean, maintainable, and efficient code, following best practices in software engineering and design patterns. - Conduct code reviews and mentor junior engineers to ensure code quality and technical excellence - Review code, design, and deployment strategies to ensure best practices, code quality and technical excellence What you’ll need: - Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience - 8+ years of professional software engineering experience with increasing responsibility - 3+ years in a technical leadership or engineering management role Technical Skills: - Strong expertise in cloud platforms (e.g., AWS, Azure) and services like EC2, Lambda, S3, Docker, ECS, elastic etc. - Strong backend development background, with expertise in Java and/or Python - Hands-on experience with infrastructure-as-code tools (e.g., Terraform, Terragrunt) and CI/CD tools such as GitLab - Strong knowledge of monitoring, alerting, and observability tools - Proven experience building and deploying microservices and managing containerized applications - Strong communication, collaboration, and organizational skills, with the ability to work effectively across teams and departments. - Excellent problem-solving, troubleshooting, and analytical skills. Leadership Skills: - Proven ability to lead and manage engineering teams, promoting innovation and driving technical excellence. - Ability to work in a fast-paced environment with rapidly changing priorities. - Strong problem-solving and analytical skills. - Excellent verbal and written communication skills. - Ability to manage relationships across technical and non-technical teams Nice to have: - Experience with frontend technologies (React is a plus) - Familiarity with HIPAA, PHI handling, or other healthcare specific security standards Work Location: Remote: Colorado, Delaware, Florida, New Hampshire, New Jersey, New York, Pennsylvania, Texas. Additional Information Full-time base salary range of $125,000 to $140,000 dependent on relevant years of experience. This role will include medical, dental, and vision benefits along with a matching 401K.