Work From Anywhere in LATAMWork Schedule: EST | Full overlap with US Eastern business hoursAbout Pearl TalentPearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU.
Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund.About the ClientA seed-stage healthcare data company is building the central source of payer policy data behind coverage decisions, and is looking for a Senior Backend Engineer to own its data infrastructure end to end.The company collects and structures more than 100,000 medical policies from over 100 insurance payers, using AI to turn complex payer rules into searchable data for customers.
It is backed by healthcare accelerators and the National Institutes of Health, recently signed a commercial partnership, and is now scaling its applied AI systems.About the RoleDay to day, you will scale the web scraping platform, build LLM workflows that pull medical codes and coverage rules out of policy text, and improve the reliability of scraper jobs and deployments.
As technical lead, you will review code and make architectural decisions for part-time and offshore engineers, without managing people directly.
Success means reliable scraper jobs, automated testing and deployment, and structured data accurate enough for customers to act on.Core ResponsibilitiesWeb Scraping InfrastructureBuild and scale the platform used to develop scrapers that collect policy data from 100+ payersImprove scraper reliability and throughput without reducing data accuracyOwn the scraper pipeline from ingestion through storageLLM Data NormalizationBuild LLM workflows that convert unstructured policy text into structured, searchable recordsInfer and tag related medical codes (CPT, ICD-10) from policy languageClassify procedure coverage status (covered or not covered)



by payerBuild evaluation and testing harnesses to measure and track output accuracyCI/CD and System ReliabilityBuild and maintain CI/CD pipelines for testing and deploying scraper jobsMonitor job failures, diagnose root causes, and ship fixesReview pull requests from part-time and offshore engineersDocument architectural decisions and share them with the engineering teamAPIs and Data ProductDesign and maintain APIs that serve normalized policy data to customersSupport the Snowflake-based data product used by customersJoin occasional customer calls to understand feature requirementsRequirementsMust-Have5+ years of backend engineering experience building production systems in PythonProduction experience with SQL and PostgreSQL for storing and querying large datasetsExperience building pipelines that ingest, clean, and normalize messy or unstructured dataHands‐on experience deploying and running backend services on AWS, GCP, or AzureExperience reviewing code and owning architectural decisions on a shared codebaseEnglish at C1 (CEFR) for daily video calls and technical discussions with US‐based foundersNice-to-HaveExperience building LLM-based extraction or classification with evaluation harnesses (OpenAI, Anthropic, LangChain, or similar)Web scraping at scale with Scrapy, Playwright, or similar frameworksExperience with RAG (Retrieval‐Augmented Generation) pipelinesHands‐on use of Terraform, FastAPI, or SnowflakeExposure to healthcare payer policy data, medical coding (CPT, ICD‐10), or prior authorizationBenefitsCompetitive Salary: Based on experience and skillsRemote Work: Fully remote—work from anywhereTeam Incentives: Recognition for maintaining 100% CRM hygiene and on‐time reportingGenerous PTO: In accordance with company policyHealth Coverage for PH‐based talents: HMO coverage after 3 months for full‐time employeesDirect Mentorship: Guidance from international industry expertsLearning & Development: Ongoing access to resources for professional growthGlobal Networking: Connect with professionals worldwide
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📌 Remote Senior Backend Engineer (Rosario)
🏢 Pearl
📍 Rosario