AI Engineer - Data Intelligence

Role Description

AI-powered platforms, like Clarium’s, deliver the highest impact when they are supported by high-quality data. As we scale to more health systems and deepen our offering of intelligent, data-driven workflows, the master data enrichment pipeline (the system that classifies and contextualizes every product flowing through a hospital's supply chain) has become a critical growth lever. We're investing in the team and infrastructure to make that layer faster, smarter, and more reliable.

You'll join the Data Products team, a small, unusually senior group responsible for the data assets, data science, and analytics that drive measurable value for our clients. Day-to-day, you'll build and own components of our enrichment pipeline:

• Classification workflows
• Entity resolution systems
• Evaluation harnesses
• Production tooling that keeps it all running

You'll work closely with engineers and data scientists who've shipped real ML systems at scale, and your work will feed directly into decisions made by supply chain teams at some of the country's leading health systems.

A rare early-career opportunity to learn fast and own real work from day one. As the first junior hire on the team, you won't be buried under layers of abstraction. You'll work directly alongside people who've done this before, on problems that actually matter. Short feedback loops, real stakes, and the kind of hands-on growth that's hard to find this early in a career. It's the opportunity many of us wish we'd had starting out.

Qualifications

• Strong Python skills and a track record of writing production code, not just scripts or notebooks
• Strong SQL, including complex joins, window functions, performance tuning, and data modeling
• Comfort working in ambiguous environments; you can scope a problem, make a plan, and execute without hand-holding
• A genuine, non-negotiable commitment to data quality; you treat silent bugs as real failures
• Ability to go deep on an unfamiliar domain and develop meaningful expertise over time

Requirements

• Build and maintain components of Clarium's master data enrichment pipeline, the system that classifies and enriches every product flowing through our platform
• Design and own classification and entity resolution workflows that combine deterministic logic and LLMs for production data processing
• Build and operate evaluation harnesses, label sets, and regression suites (we use Braintrust) to measure and improve pipeline quality with confidence
• Write production Python and SQL; the majority of your time will be spent in code, not in configuration tools
• Analyze complex datasets using statistics and ML to surface actionable insights and inform pipeline improvements
• Proactively audit data for quality issues; find the problems no one else has noticed yet, diagnose root causes, and ship fixes

Nice to Have

• Experience with LLM integrations, prompt evaluation, or classification at scale
• Familiarity with eval frameworks such as Braintrust, Promptfoo, or equivalent
• Prior work in healthcare, supply chain, or another domain where data quality has direct operational consequences

Skills & Tools You'll Use

• Need to Know:
• Python
• SQL
• PostgreSQL
• CI/CD
• Production observability
• Nice to Know:
• Temporal
• Braintrust
• Snowflake
• AWS
• Sigma

Benefits

• Target Base Salary Range: $150K - $180K
• Incentive Stock Options proportionate to your salary
• Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time
• Unlimited PTO
• Top-tier health, vision, and dental benefits
• 401K
• The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product

Equal Opportunity Statement

Clarium is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.