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LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Full-Stack Engineer who treats AI not as a tool but as a core part of how they think, build, and ship.
This is not a role for someone who occasionally uses Copilot to autocomplete lines. You are an engineer who has rebuilt how you work around AI— using LLMs to generate scaffolding, reason through architecture, write tests, debug production issues, and ship faster than a team twice the size. Critically, you know how to orchestrate Claude agent teams to parallelize complex engineering work, treating a coordinated group of Claude agents as a force multiplier on top of your own output. You will balance 90% hands-on coding with 10% knowledge sharing, and you are expected to push the velocity ceiling of what one engineer can deliver.
LumiMeds is a fast-growing U.S.-based telehealth startup focused on weight management and long-term metabolic health. We are building the next generation of e-commerce and clinical infrastructure from the ground up.
As an early-stage company, we move quickly, operate with limited layers, and expect high ownership from every team member. There is no bureaucracy here — decisions happen fast, priorities evolve, and builders thrive.
We are a remote-first, globally distributed team that values clarity, accountability, and people who take initiative rather than wait for direction.
LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Full-Stack Engineer who treats AI not as a tool but as a core part of how they think, build, and ship.
This is not a role for someone who occasionally uses Copilot to autocomplete lines. You are an engineer who has rebuilt how you work around AI— using LLMs to generate scaffolding, reason through architecture, write tests, debug production issues, and ship faster than a team twice the size. Critically, you know how to orchestrate Claude agent teams to parallelize complex engineering work, treating a coordinated group of Claude agents as a force multiplier on top of your own output. You will balance 90% hands-on coding with 10% knowledge sharing, and you are expected to push the velocity ceiling of what one engineer can deliver.
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You will build and scale the following critical healthcare systems:
EMR & Clinical Data Engine: Implementing high-availability Electronic Medical Record (EMR) systems with complex data modeling for patient history and clinical notes.
AI Clinical Copilot: Integrating LLMs to automate clinical documentation, summarize patient charts, and surface actionable insights for providers.
Prescription Management (e-Prescribing): Building secure, auditable workflows for medication orders, pharmacy integrations, and state-machine-based fulfillment tracking.
Virtual Care Infrastructure: Implementing real-time patient-provider interfaces, including WebRTC video, secure messaging, and async consultation flows.
E-commerce & Checkout: Engineering high-conversion storefront experiences, including complex product catalogs, subscription billing models, and dynamic pricing engines.
Node.js & TypeScript: Strong command of async patterns, event-driven architecture, and runtime performance.
API Design: Proficiency in RESTful, GraphQL, and TypeSafe APIs (tRPC).
Database: Solid PostgreSQL fundamentals (joins, indexing, migrations) and Redis for caching.
Next.js & React: Working knowledge of App Router, Server Components (RSC), and client/server data flow.
State Management: Experience with TanStack Query, Zustand, or similar.
LLM Integration: Hands-on experience integrating OpenAI or Anthropic APIs into production environments — streaming, tool use, structured outputs.
Claude Agent Teams: Demonstrated experience building and orchestrating Claude agent teams using the Claude Agent SDK. You know how to decompose a problem, spin up specialized subagents, manage inter-agent communication, and stitch outputs back into a reliable, production-ready result.
AI Dev Tooling: Daily active use of Cursor, GitHub Copilot, or equivalent. You have strong opinions about how to prompt effectively.
Cloud & DevOps: Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, and GitHub Actions.
AI as Infrastructure: We don’t treat AI as a feature — it’s woven into how we build, test, document, and ship. You’ll be in the right environment to go further than anywhere else.
High Complexity: Work on hard engineering problems involving real-time data, complex clinical state machines, and high-stakes reliability.
Direct Impact: Your code will directly affect patient outcomes and the efficiency of healthcare providers.
Private telehealth platform connecting U.S. patients with licensed providers for prescription weight-loss and longevity treatments.
Visit company websiteJobs and hiring trendsFull-time
Mid · 3+ years experience
Remote
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