Top Tech Jobs & Startup Jobs

Own architecture and hands-on implementation across multiple product areas for a production AI pharmacy platform. Build scalable systems, agentic voice and SMS AI with safety guardrails, deep Epic and EHR integrations, prior authorization automation, and 340B compliance workflows. Lead model selection, context management, cost and latency optimization, and evaluation methodology while independently solving high-leverage technical problems and partnering directly with executive engineering leadership.

Own software features end to end, including product interpretation, data modeling, API design, architecture, rollout, production monitoring, and customer delivery. Build LLM-powered features for regulated healthcare environments with evaluations, guardrails, and failure-mode analysis. Integrate with Epic workflows, prior authorization logic, and pharmacy operations. Work autonomously with loose requirements, strong product judgment, and rapid delivery expectations.

Build and ship production software features and fixes independently with strong test coverage. Use AI development tools thoughtfully, learn pharmacy workflows and customer needs, identify bugs and UX issues, and improve rapidly through code reviews and pairing. The role works with a Node.js, TypeScript, and GCP stack in a remote-first environment supporting AI-powered healthcare and pharmacy operations.

Owns the architecture and hands-on development of a core healthcare product in production. Responsibilities include designing complex systems, building agentic AI workflows, integrating with Epic, developing prior authorization and patient communication infrastructure, establishing technical standards, coordinating cross-team delivery, and shipping reliable software in a regulated environment.

Own end-to-end product direction for AI-powered pharmacy experiences and workflow automation. Do 0-1 discovery, ship scrappy MVPs, scope safe AI/human-in-the-loop solutions, work tightly with engineering/design, and make data-driven business cases for staged rollouts.

Support health system pharmacy customers through implementation, configuration, training, go-live, adoption, and expansion of an AI-powered pharmacy platform. Serve as a pharmacy operations subject matter expert, translate workflows into platform configurations, manage customer relationships, conduct business reviews, identify adoption opportunities, and relay customer feedback to Product and Engineering. The role requires a PharmD and substantial experience in infusion, home infusion, or ambulatory health system pharmacy operations.

Own and build core, greenfield backend systems using Node/TypeScript on GCP. Design multi-component architectures, produce actionable design docs, implement AI/LLM features (RAG, function calling, agentic workflows), manage cross-team delivery, and mentor/hire engineers.

Build and ship end-to-end features on a modern stack (Node/TypeScript/GCP), integrate with EHR platforms, use AI tools in development, collaborate with senior engineers, and help scale an AI-powered digital pharmacy platform in production.

Build and ship production features end-to-end on a Node/TypeScript/GCP stack. Contribute to system design, author design docs, perform constructive code reviews, and integrate AI tools into product features. Take ownership for correctness and reliability while operating at Series A pace.

Lead platform architecture and engineering for a greenfield AI-powered pharmacy platform. Define AI strategy and model tradeoffs, ship scalable systems, drive roadmap decisions, mentor engineers, and balance technical execution with business outcomes.