Sr/Staff Application & AI Engineer (AI Center of Excellence)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr/Staff Application & AI Engineer (AI Center of Excellence) based in the United States.
This role is a foundational opportunity within an AI-focused engineering organization building next-generation clinical intelligence systems for healthcare. You will help design and scale advanced AI-powered applications that transform how clinicians interact with electronic medical records, shifting from manual documentation to intelligent, automated workflows. The position sits at the intersection of software engineering, generative AI, and healthcare systems, with direct impact on real-world clinical efficiency and patient care outcomes. You will architect and deploy production-grade AI features powered by large language models, autonomous agents, and modern cloud-native infrastructure. The environment is highly innovative and fast-moving, with strong emphasis on experimentation, scalability, and engineering excellence. This role is ideal for a senior engineer passionate about building applied AI systems that operate at scale in mission-critical environments.
Accountabilities:
- Architect, build, and deploy scalable AI-powered application features for clinical workflows using modern software engineering and generative AI techniques.
- Design and implement LLM-driven systems, autonomous agents, and AI workflows that enhance clinician productivity and reduce documentation burden.
- Develop and maintain production-grade services using Node.js and TypeScript across microservices and cloud-native architectures.
- Build intuitive AI user experiences integrated into frontend frameworks such as React and Next.js, supporting real-time interactions and streaming outputs.
- Define engineering best practices for AI systems, including prompt management, evaluation frameworks, testing strategies, and CI/CD pipelines.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate complex clinical workflows into scalable technical solutions.
- Contribute to system design, architectural decisions, and performance optimization across distributed AI services and healthcare data systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent professional experience (8+ years in software engineering).
- Strong expertise in TypeScript, Node.js, and modern frontend frameworks such as React or Next.js.
- Proven experience building and deploying production-grade AI systems, including LLM integrations and agent-based architectures.
- Hands-on experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, or similar tools).
- Strong understanding of distributed systems, microservices architecture, REST/GraphQL APIs, and event-driven design patterns.
- Experience working with cloud platforms (AWS preferred), containerization (Docker/Kubernetes), and CI/CD pipelines.
- Familiarity with vector databases, RAG pipelines, and AI evaluation/observability tools is a strong plus.
- Ability to translate complex technical concepts into clear, actionable communication for cross-functional stakeholders.
- Healthcare domain experience (EMR/EHR, clinical workflows) is a plus but not required.
- Competitive compensation aligned with senior/staff-level AI engineering roles.
- Fully remote position within eligible U.S. states.
- Opportunity to build foundational AI systems with direct impact on clinical workflows and patient care.
- High ownership role with influence over architecture, tooling, and AI engineering standards.
- Strong growth trajectory into Principal Engineer or AI Architecture leadership roles.
- Exposure to cutting-edge generative AI technologies and large-scale production deployments.
- Innovative, remote-first environment focused on experimentation, learning, and technical excellence.