Jobs at Concurrence

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Build and own full‑stack applications for clinicians and researchers: real‑time oversight interfaces, schema-to-API-to-UI features, no-code agent behavior tools, and natural‑language exploration of healthcare data. Ensure high correctness, reliability, and performance for systems handling sensitive patient data while collaborating with designers, clinicians, and customers.

Lead end-to-end technical delivery of AI deployments for healthcare customers: set architecture, decompose ambiguous problems into deliverable work, make tradeoffs, manage scope and timelines, work directly with customers, and ensure production-quality LLM/agent systems.

Lead end-to-end technical delivery of AI deployments for healthcare customers: set architecture, decompose ambiguous problems into deliverable work, own timelines and tradeoffs, mentor engineers, and work directly with customers to ensure production-quality LLM and agent-based systems. On-site in New York City.

Lead and scale engineering across application, backend, infrastructure, and data teams. Responsibilities include hiring and developing engineers, guiding architecture and system design, driving reliable product execution, establishing engineering standards, shaping platform strategy, and partnering with AI, product, and customer-facing teams. The role also requires maintaining strong reliability, security, and privacy practices for clinical patient data.

As a Senior Full-Stack Engineer, you will build applications for clinical operations, design APIs, implement real-time interfaces, and collaborate with teams on patient data management.

The AI Deployment Strategist will collaborate with healthcare organizations to implement AI solutions, managing customer relationships and ensuring value realization throughout the deployment lifecycle.