As the first engineering hire at Penelope Health Inc., you will build the core engine that converts complex payer policies into deterministic computable contracts. You will architect high-throughput ingestion systems and low-latency APIs, bridging the gap between LLM extraction and formal logic to eliminate the need for traditional healthcare revenue cycle management.
Founding Engineer at Penelope Health Inc.
Join Penelope Health Inc. as their first engineering hire and help rebuild the $200B healthcare billing market from the ground up. Backed by $2.7M from Seedcamp and Bertelsmann, this London-based team is replacing adversarial revenue cycles with computable contracts grounded in formal logic. You will architect high-throughput ingestion engines and LLM-powered extraction systems that make healthcare billing deterministic. If you are an exceptional Python engineer with a background in web scraping and AI evals who wants to materially reduce the cost of healthcare, this is your chance to shape the technical foundation of a future industry leader.
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Location
London, United Kingdom
Compensation
£110k-£150k + Equity
Company
Penelope Health Inc.
Role overview
At Penelope our core mission is to radically reduce healthcare administrative spend. We do this by providing an auditable and computable contract between insurance companies and patients/doctors. This means a patient knows in real-time whether a certain procedure is covered by insurance and for how much. They can pay their share at the time of care and by the time they leave the doctor’s office, all financials have been resolved in the background.
What you will do
- Design and scale an ingestion engine tracking coverage policies across 3,000+ payers using a sophisticated blend of web scraping and LLM-powered extraction.
- Build the representation layer that converts medical necessity criteria into computable contracts using formal logic, CQL, and deterministic evaluation frameworks.
- Architect and own production-grade API and MCP endpoints, ensuring high accuracy and low latency for AI agents querying coverage rules at scale.
Who this is a fit for
- Has 3-4+ years of backend experience with Python and deep expertise in building large-scale web scraping systems and high-throughput data ingestion pipelines.
- Demonstrates a high level of proficiency in LLM-powered structured extraction, including rigorous testing with Pydantic AI and LLM evaluation frameworks.
- Is an exceptional builder who thrives in a 5-day in-office environment in London, prioritizing engineering fundamentals, shipping velocity, and high-quality system architecture.
Why this role is remarkable
- Join as the first engineer at a $2.7M pre-seed startup backed by top-tier investors like Seedcamp, Bertelsmann Health Investments, and Twine Ventures.
- Solve deep technical challenges at the intersection of web scraping at scale, LLM-powered structured extraction, and formal logic within a $200B market.
- Directly impact the cost of care for millions by building the infrastructure that makes healthcare billing deterministic rather than an adversarial back-and-forth.
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