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Clarium

AI Engineer - Data Intelligence

Remote/US (Remote)$100k–$130kfulltimemidAdded 1 month ago

About this role

Join Clarium's Data Products team to build and optimize the master data enrichment pipeline that powers AI-driven healthcare supply chain visibility. You'll own critical components including classification workflows, entity resolution systems, and evaluation frameworks while working directly with experienced engineers on problems affecting major health systems.

What you'll do

  • Build and maintain components of the master data enrichment pipeline for product classification and enrichment
  • Design classification and entity resolution workflows combining deterministic logic with LLMs for production use
  • Develop evaluation harnesses, label sets, and regression suites to measure and improve pipeline quality
  • Write production Python and SQL code for data processing and analysis
  • Analyze complex datasets using statistics and ML to inform pipeline improvements
  • Audit data for quality issues, diagnose root causes, and ship fixes

What they're looking for

  • Python (production-grade code)
  • SQL (complex joins, window functions, performance tuning)
  • PostgreSQL
  • CI/CD and production observability
  • Data quality assurance
  • LLM integrations (nice to have)
  • Evaluation frameworks like Braintrust (nice to have)
  • Problem scoping and independent execution in ambiguous environments

Benefits

  • Base salary: $150K - $180K
  • Incentive stock options proportionate to salary
  • Full range of medical and other benefits
  • Remote/US position
  • Mentorship from experienced engineers and data scientists
  • Direct impact on real healthcare supply chain operations
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Clarium

Clarium builds an AI-powered supply chain platform for healthcare that integrates data from diverse hospital systems including ERP, inventory, and EHR sources to provide supply chain visibility. The company is hiring Forward Deployed Engineers to own customer data integrations and Data Products engineers to build master data enrichment pipelines and classification systems.

View all jobs at Clarium

Likely interview questions

  • Walk us through a time you built production Python code at scale. How did you approach testing, monitoring, and maintaining it over time?
  • Describe your experience with SQL—what's the most complex query you've written, and how did you optimize it for performance?
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