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Founding Engineer Ai Clinical Search Search Engine For Doctors

💼 Full-time🗓 2026-07-25

Core

Building an LLM-powered clinical search engine to provide unbiased, high-quality medical research and guidelines to doctors.

Role type

Founding Full-Stack Architect / AI Engineer

Builds

A hallucination-free clinical search engine, data ingestion pipelines, and agentic AI workflows.

Domain

Healthcare / Clinical Intelligence / AI

Deliverable

production ML models | product features

Required skills

Full-stack architecture, RAG (Retrieval-Augmented Generation), vector databases, agentic AI patterns, data orchestration, high-scale system design, multi-agent system design, privacy-first user profiling, ad-serving engine development, team leadership, code quality standards.

Preferred skills

Experience building products from 0 to 1, debugging complex scrapers, serving millions of concurrent users.

Technologies

LLMs, RAG, vector databases, agentic AI frameworks, data scraping tools, ad-serving platforms.

Responsibilities

Architecting robust data pipelines to scrape and normalize medical datasets, designing multi-agent systems for data validation and indexing, building a low-latency high-precision search engine, developing privacy-first user profiling and ad-serving infrastructure, mentoring a small engineering team.

Seniority

Founding, hands-on IC with leadership responsibilities

Rewrite
## About the role Our Mission Medical knowledge is expanding faster than any human can track. We are building the next generation of clinical intelligence—an LLM-powered search engine designed to give doctors the right answers in seconds. Our benchmark is OpenEvidence, and our goal is to surpass it by delivering only the highest quality - unbiased clinical researches to doctors As our Founding Engineer, you will lead a lean technical team, collaborating directly with our medical leadership to transform raw clinical data into a hallucination free guidelines ## Responsibilities Your Role You will own the technical roadmap from infrastructure to interface. This is a "player-coach" role where you will build the core architecture while scaling a high-performance engineering culture. Your core focuses will include: - Data Orchestration: Architecting robust pipelines to scrape, normalize, and ingest massive datasets from diverse medical sources. - Agentic Workflows: Designing multi-agent systems to clean, validate, and structure medical data into a high-quality clinical index. - Search Architecture: Building a low-latency, high-precision search engine capable of serving millions of clinicians globally. - Monetization Infrastructure: Developing privacy-first user profiling and a sophisticated ad-serving engine that provides value to users while delivering transparent reporting to partners. - Leadership: Mentoring a small team of engineers and maintaining a high bar for code quality and system reliability. ## Requirements Who You Are - A Full-Stack Architect: You've built and scaled products from 0 to 1. You understand that "founding" means doing whatever it takes—from high-level system design to debugging a scraper at 2 AM. - AI/ML Fluent: You have deep experience with RAG (Retrieval-Augmented Generation), vector databases, and agentic AI patterns. - Data Obsessed: You know that a search engine is only as good as its index. You have a "clean data" mindset. - Scale-Ready: You have experience building systems for high-traffic environments and understand the complexities of serving millions of concurrent users. ## What we offer Why Join Us? - Founding Equity: You will have a significant stake in the company you help build. - Impact: Your work will directly influence clinical decision-making for millions of healthcare providers. - Autonomy: We don't micromanage. You own the tech stack and the engineering culture.
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