Jobs at Concurrence

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.

Own customer healthcare AI use cases from deployment brief through production. Build safe, evaluated multi-agent systems, integrate EHRs and legacy data, improve clinical workflows, and convert successful customer patterns into scalable platform capabilities. Mentor engineers, manage timelines, challenge unclear scope, and work directly with customers and clinicians.

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.

Own the technical pre-sales process from discovery through deal signature. Build rapid prototypes, proof-of-concept agents, demo environments, reference architectures, and sizing models. Lead technical demonstrations and deep dives with clinical, IT, and executive stakeholders, address security and integration objections, and collaborate with account executives and Applied AI Engineers. Feed prospect insights into product and engineering while supporting healthcare AI use cases and integrations.

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.

Own complex healthcare AI deployments from initial brief through production. Design and build reliable multi-agent systems, establish evaluation and safety standards, integrate EHRs and legacy systems, and convert customer-proven solutions into scalable platform capabilities. Set architecture direction, manage timelines and outcomes, mentor engineers, document systems, and collaborate directly with healthcare customers and clinicians.

Generate outbound pipeline into named enterprise accounts through multi-channel outreach, account mapping, and collaboration with senior account executives. Research opportunities, prepare calls, manage follow-ups, maintain clean CRM records, run discovery calls, and gradually own sales-cycle stages. Identify opportunities beyond assigned accounts and provide market feedback. Travel for onsite meetings, conferences, and executive engagements as needed.

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.

Own cross-account delivery planning for Applied AI deployments, including FDE capacity, dependencies, risks, and commitments. Establish Linear as the source of truth, improve estimation and delivery metrics, track progress, triage applied-versus-platform blockers, and convert recurring field needs into platform priorities. Run lightweight operating rhythms, automate status tracking, and ensure customer commitments reflect real capacity. The role requires technical credibility, strong engineering judgment, and relentless follow-through.

Build and operate high-throughput backend and infrastructure services powering healthcare AI agents. Own core platform services end to end, design for concurrency and reliability, improve performance and observability, handle sensitive healthcare data, and influence architectural decisions. The role requires production experience with distributed systems, service design, debugging across services, queues, and databases, and on-site work in New York City or San Francisco.

The Head of Research will build and lead Amigo’s clinical AI research function, establish evaluation standards, oversee benchmarks and patient simulations, and design studies demonstrating safe, clinically valid agent behavior. The role includes hiring researchers, managing research programs, publishing findings, developing academic collaborations, engaging clinicians and regulators, communicating system limitations, and translating research results into product and deployment decisions.