Comp Details: $125k - $185k + 0.5% - 1% Equity
At Medfinder, we build AI Agents that help patients get access to medications. We use AI agents (primarily voice AI) to automate manual processes in the prescription journey, and have already helped over 30,000 patients across the US get their prescriptions filled.
Medfinder is the #1 medication locating service in the market, having partnered with hundreds of healthcare organizations and leading pharmaceutical manufacturers. We are growing extremely fast and lean, quadrupling our revenue and customer base in the last 12 months without expanding our team size.
We believe that everyone deserves access to the care they need, and are just at the start of our journey to make that a reality.
This is not a traditional software development role. You are not building machines - you are building machines that build machines.
We want someone who is AI-native: not someone who uses Cursor or Copilot inside an IDE, but someone who thinks in terms of multiple parallel agents working semi or fully autonomously. You think in agents, not commits.
The gist: build autonomous agents that require minimal supervision. They should behave more like coworkers than tools, taking ownership of a problem, figuring out the next step, and coming back with results instead of questions.
Beyond building specific agents, we want someone who automates repetition. Anything you find yourself doing repeatedly in product development should be converted into an agentic workflow. Over time, most of the work becomes running, improving, and orchestrating those workflows.
The pattern we care most about is the auto-research loop: a self-improving agent that iterates against a metric, keeps what works, discards what doesn't, and gets better overnight without you. Designing these loops well is the main skill we're hiring for.
You need to know how to accurately provide context to the AI agents, encode tribal knowledge into AI-accessible documentation, design tools to safely work with production systems, and curate guardrails to prevent disasters and avoid AI slop. These aspects are crucial to ensure AI agents actually improve day-to-day productivity.
You'll be doing this at a company that already works this way. Our AI agents call pharmacies on behalf of patients every day, and this role takes the same approach to the rest of the product.