Company
Healthcare
Sr/StaffApplication&AIEngineer(AICenterofExcellence)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr/Staff Application & AI Engineer (AI Center of Excellence). Skills: Application Engineering, AI Engineering, Generative AI, LLM. Architect scalable AI-powered application features. Build scalable AI-powered application features”
Industry & Context.
What They're Looking For.
Must Have
Bachelor’s or Master’s degree, 8+ years in software engineering, Expertise in TypeScript, Expertise in Node.js, Expertise in modern frontend frameworks, Proven experience building and deploying production-grade AI systems, Proven experience with LLM integrations, Proven experience with agent-based architectures, Understanding of distributed systems, Understanding of microservices architecture, Understanding of REST/GraphQL APIs, Understanding of event-driven design patterns, Experience working with cloud platforms, Experience with containerization, Experience with CI/CD pipelines
Nice to Have
AWS preferred, Docker/Kubernetes preferred, Familiarity with vector databases, Familiarity with RAG pipelines, Familiarity with AI evaluation/observability tools, Healthcare domain experience, EMR/EHR experience, Clinical workflows experience
What You'll Do.
Architect scalable AI-powered application features
Build scalable AI-powered application features
Deploy scalable AI-powered application features
Design LLM-driven systems
Implement LLM-driven systems
Design autonomous agents
Implement autonomous agents
Implement AI workflows
Develop production-grade services
Maintain production-grade services
Build AI user experiences
Integrate AI user experiences into frontend frameworks
Define engineering best practices for AI systems
Develop evaluation frameworks
Develop testing strategies
Develop CI/CD pipelines
Collaborate with cross-functional teams
Identify high-impact AI opportunities
Translate clinical workflows into technical solutions
Contribute to system design
Contribute to architectural decisions
Contribute to performance optimization
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Clear, actionable communication
Full Job Description
## 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. Requirements: 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 st
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