Codes Health
Software Engineer
About this role
Codes Health is building AI-powered systems to automate medical records retrieval for plaintiff litigation and healthcare, currently processing records 2-3x faster than traditional methods. As a Software Engineer, you'll work on agentic systems that handle complex data workflows across faxes, portals, and emails while managing extreme variability in healthcare data.
What you'll do
- Build agentic systems that automate record retrieval across multiple channels (fax, email, web portals, physical mail)
- Develop solutions for processing large medical records (averaging 300 pages, up to 30,000) with high deduplication requirements
- Design patient and facility matching systems across messy provider networks
- Ship end-to-end features from conception through production deployment
- Collaborate directly with customers (law firms) to understand needs and iterate on solutions
- Work across both the retrieval pipeline and customer-facing product depending on priorities
What they're looking for
- TypeScript and React (frontend development)
- Python and FastAPI (backend development)
- Large language models and AI systems
- Data processing and complex workflows
- Full-stack product ownership
- Healthcare domain knowledge or ability to learn quickly
- Direct user engagement and feedback incorporation
- Software engineering rigor in complex problem domains
Benefits
- Competitive salary ($160K–$300K based on experience)
- Early-stage equity
- Unlimited PTO
- Health benefits
- Work directly with founders and high-caliber engineering team
- Fully in-person role in Dumbo, Brooklyn
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Codes Health
Codes Health builds AI-powered systems that automate medical records retrieval for litigation and healthcare applications, processing records significantly faster than traditional methods. The company is hiring Software Engineers to develop agentic systems that handle complex data workflows across multiple channels while managing the inherent variability of healthcare data.
View all jobs at Codes HealthLikely interview questions
- Walk us through a feature you shipped end-to-end in production. What was hardest about getting it right, and how did you handle it?
- Our system processes medical records averaging 300 pages with ~70% duplication. How would you approach building a pipeline to surface what actually matters while handling this scale and noise?