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You will lead end-to-end client engagements, including pre-sales, architecture, and implementation of production AI agent systems. Additionally, you will bridge the gap between client needs and product development by sharing field insights to improve the core platform.
Join a healthtech team delivering production AI agent deployments for healthcare and life sciences organizations. You will lead technical delivery from early client discussions through implementation and ongoing support, while sharing field learnings that improve the core platform.
Own client engagements end to end, including pre-sales demonstrations, requirements gathering, architecture, integration, implementation, and post-launch support.
Design and build production AI agent systems that connect with healthcare platforms such as EHRs, claims systems, specialty pharmacy tools, and CRMs while meeting HIPAA requirements.
Lead working sessions and present technical approaches to executive and technical stakeholders.
Make architectural and design decisions, scope integrations, and resolve technical challenges in client settings.
Bring deployment insights back to the product team and develop reusable components for future implementations.
Five to 15 years of software engineering experience building and owning production systems end to end.
Experience creating complete system architectures and architecture diagrams, and delivering customer-facing software in production.
Experience putting LLM systems or AI agents into production, including evaluations, guardrails, and monitoring.
Client-facing technical delivery experience spanning scoping, pre-sales, and post-sale integration, with strong communication and presentation skills.
Healthcare or life sciences experience, such as patient services, specialty pharmacy, clinical operations, health insurance, or compliance.
Fluency with JavaScript, Node.js, TypeScript, Python, Next.js, and React; experience with PostgreSQL, Redis, WebSockets, ETL/ELT, AWS or GCP, Docker, CI/CD, LLM orchestration, and vector stores is relevant.
U.S. citizenship or permanent residency is required. Data and machine learning pipeline experience is also useful.
Base salary: $170,000 to $205,000 annually. Visa sponsorship is not available.
Remote within the United States, with New York as the primary location.
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