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Build and operate backend systems connecting pharmacies, health systems, and insurers. Solve distributed-systems challenges involving event-driven workflows, retries, idempotency, data consistency, and failure recovery. Own features from architecture through production, contribute to AI-powered capabilities, make pragmatic technical decisions, and collaborate with product and engineering leadership on roadmap and architecture. The role is hybrid in Manchester, with office attendance one to two days weekly.

Owns architecture and hands-on development across a production AI platform for pharmacy and healthcare. Builds scalable systems, safe voice and SMS agents, EHR integrations with Epic, prior authorization automation, and reliable AI evaluation and guardrails. Leads complex cross-team projects, mentors engineers, improves engineering practices, and advances agentic development. Requires recent Staff+ level system-building experience, production LLM expertise, strong architectural judgment, and experience operating in high-compliance or high-consequence environments.

Build and lead the UK QA function, including strategy, processes, tooling, standards, and team growth. Develop testing approaches for AI-led products, agentic workflows, and non-deterministic LLM features. Write Playwright and TypeScript automation while performing manual testing, regression testing, and UAT. Partner with Engineering and Product to embed quality throughout development and establish effective release and defect-management processes.

Build and shape QA practices in the UK, write automated Playwright tests, test APIs with Postman, evaluate AI-powered features and LLM outputs, perform manual testing, regression, and UAT, and collaborate with engineers to ensure production quality.

Build and ship end-to-end software features for an AI pharmacy operating system. Own data models, APIs, LLM integrations, healthcare workflows, rollout, monitoring, and feature health. Work on prior authorization logic, Epic integrations, pharmacy operations, and patient-facing AI agents in a regulated production environment. The role requires strong product judgment, comfort with ambiguous requirements, and experience operating production systems.

Own the technical direction of core healthcare products, including prior authorization pipelines, Epic integrations, patient communication infrastructure, and AI agents. Design complex multi-component systems, build production software in a regulated environment, establish engineering standards through code and architecture, and lead delivery across workstreams. The role also involves shaping team practices in a greenfield, AI-native Orlando hub.

Build and ship software features and fixes for an AI-powered pharmacy operating system, including prior authorization workflows, Epic integrations, and AI agents supporting patient calls and texts. Responsibilities include independent development, testing, code reviews, debugging, learning pharmacy workflows, identifying UX issues, and using AI tools thoughtfully. This is a hybrid role requiring three days per week in the Orlando office.

Own 0-to-1 AI product development for specialty pharmacy. Identify ambiguous customer problems, conduct discovery with pharmacists, patients, and customers, define solutions, and work closely with Engineering and Design to ship quickly. Build data-backed product cases, communicate clearly, operate independently, and thrive in a fast-paced startup environment. Healthcare experience is not required, but curiosity about regulated healthcare and strong interest in AI are important.

Serve as a generalist business operations partner to the BizOps Director, COO, and senior leadership. Lead strategic projects from problem framing through implementation, while supporting procurement, vendor management, contracts, pricing, commercial partnerships, onboarding, and InfoSec compliance. Work cross-functionally with sales, engineering, customer experience, product, and design in a fast-growing, ambiguous AI and healthcare environment.

Build and ship AI-powered digital pharmacy features integrated with EHRs, owning end-to-end development from ambiguous requirements to production. Use OpenAI, Langfuse, and Vertex AI; run architectural spikes, mentor engineers, shape technical direction, and scale production systems while collaborating with leadership.