Sr/Staff Application & AI Engineer (AI Center of Excellence)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr/Staff Application & AI Engineer (AI Center of Excellence) in United States.

This is an exceptional opportunity for an experienced software and AI engineer to help shape the future of AI-powered healthcare technology within a rapidly growing AI Center of Excellence. In this role, you will architect, build, and scale next-generation AI applications that transform clinical workflows and reduce administrative burden for healthcare providers. You will work at the intersection of generative AI, distributed systems, and modern application engineering, developing intelligent platforms that directly improve operational efficiency and user experience. The position offers the chance to lead technical innovation in areas such as autonomous AI agents, LLM orchestration, scalable microservices, and real-time AI-driven applications. Ideal candidates are highly technical, hands-on engineers who thrive in fast-paced environments, enjoy solving complex engineering challenges, and are passionate about delivering impactful AI solutions at scale. This remote-first role provides strong career growth potential and the opportunity to help define AI engineering standards across an evolving organization.

Accountabilities:

• Architect, develop, and deploy scalable AI-powered applications and enhancements for modern healthcare technology platforms.
• Lead the technical implementation of generative AI capabilities, including LLM integrations, autonomous agents, prompt workflows, and AI-driven user experiences.
• Design and maintain scalable microservices, event-driven systems, APIs, and distributed architectures that support production AI workloads.
• Build production-ready applications using modern TypeScript, Node.js, React, Next.js, and cloud-native technologies.
• Establish and promote AI engineering best practices, including testing frameworks for LLM outputs, prompt management, observability, CI/CD pipelines, and AI evaluation methodologies.
• Collaborate cross-functionally with engineering, product, and business stakeholders to translate complex requirements into intuitive and scalable technical solutions.
• Prototype and rapidly iterate on innovative AI concepts to improve user workflows, operational efficiency, and application performance.
• Contribute to cloud infrastructure, DevOps automation, and deployment processes using modern engineering and infrastructure-as-code practices.
• Monitor application performance, scalability, and reliability while continuously optimizing systems for efficiency and maintainability.
• Help define long-term AI architecture standards and contribute to the growth of the AI Center of Excellence.

Requirements:

• Strong expertise in TypeScript, Node.js, and modern frontend frameworks such as React, Vue, or Next.js.
• Proven experience integrating large language models (LLMs), orchestrating autonomous AI agents, and building advanced prompt workflows using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Deep understanding of microservices architecture, REST/GraphQL APIs, distributed systems, and event-driven application design.
• Experience building and deploying scalable cloud-native applications using AWS services, Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Solid understanding of databases and search technologies, including PostgreSQL, Redis, vector databases, Elasticsearch, and event-streaming systems.
• Hands-on experience with AI observability, evaluation frameworks, testing automation, and production AI system monitoring.
• Strong software engineering fundamentals with the ability to write clean, maintainable, and scalable code.
• Excellent problem-solving skills and the ability to thrive in ambiguous, fast-moving, and innovation-focused environments.
• Strong communication and collaboration skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related quantitative field preferred; equivalent professional experience also considered.
• Experience with healthcare technology, EMR systems, SOAP notes, or clinical workflows is considered a strong advantage.
• Familiarity with Python, MLOps concepts, Retrieval-Augmented Generation (RAG) pipelines, and vector search technologies is a plus.

Benefits:

• Fully remote work opportunity within eligible U.S. states.
• Opportunity to join a newly established AI Center of Excellence with strong long-term growth potential.
• Direct impact on products used by thousands of healthcare providers and millions of patients annually.
• Exposure to cutting-edge AI technologies, modern cloud infrastructure, and scalable distributed systems.
• Collaborative and innovation-driven engineering culture focused on transparency and continuous improvement.
• Career advancement opportunities into senior technical leadership and architecture roles.
• Flexible and high-performance work environment encouraging experimentation and technical ownership.
• Opportunity to work on meaningful products that improve healthcare efficiency and clinician experience.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1