# Software Engineer at Codes Health Software Engineer at Codes Health in New York. On-site, full-time, paying $160k–$300k. Posted June 10, 2026. - Company: Codes Health - Location: New York - Workplace: On-site - Job type: Full-time - Pay: $160k–$300k - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/codes-health/c7e866ec-6abe-4fcb-a472-47b1b4a7ee18/application - Source: https://jobmagic.ai/jobs/software-engineer-codes-health-3955ba ## Description ### About Codes Health We’re fixing one of the most broken and crucial parts of plaintiff litigation: getting complete, accurate medical records. Today, that takes 30 to 50 days of faxing, calling, and portal-chasing across thousands of providers, each running its own back office. We deliver records 2-3x faster. To do this, we're building an agentic layer that operates in this messy, real-world environment. Every retrieval teaches our system how to access another corner of American healthcare, building a provider data layer you can't scrape or buy. All while putting us at the most upstream point of a $20B+ market where everything downstream depends on us. This problem extends far beyond the plaintiff legal space. It's also pervasive in healthcare, where our CEO Alvaro first encountered it while running a home health agency, as well as in disability services, life sciences/clinical trials, and the insurance industry. All of these verticals face this same challenge. ***“Codes isn’t just participating in the workflow; it’s capturing the moment where the most important data is created, positioning itself to expand from ingestion into orchestration and ultimately own the entire stack.”** - Amplify Partners, **Boring is Sexy* We've gone from $0 to a $3M+ run rate in a year and grown 2.5x quarter over quarter for four straight quarters. We've raised $17.5M from Amplify, General Catalyst, Haystack, and Y Combinator. We serve 130+ law firms across plaintiff litigation and mass tort, including the largest plaintiff firm in the country. ### The Work The core challenges are data complexity and reliability under extreme variability. You can think about it as reverse-engineering the back office of every healthcare facility in the U.S., then rebuilding it as a system that continuously learns from outcomes and improves across thousands of edge cases. That includes: - Building agentic systems that run end to end across fax, email, web portals, and physical mail, where each document type triggers a different workflow. - Processing records that average 300 pages, sometimes hit 30,000, and run roughly 70% duplicate, and still surfacing what matters to a case. - Matching patients and facilities across messy provider networks, where a single system like NYU Langone is 340+ care locations with no clean way to match them. We're a lean team where everyone works on everything. The work splits loosely across automating the retrieval pipeline, the customer-facing product law firms use to request and view records, and the applied AI threaded through both. You'll move between them as our goals shift, ship customer-facing product one month and go deep on the pipeline the next, and stay close to both the customer and the data. ### Who we're looking for This role is open at all levels. You might be a fit if you: - Have shipped features start to finish in production and want to own outcomes. - Go deep on the domain: the data systems and the workflows our agents run. - You’ve explored LLMs and are excited about turning them into reliable systems. - Want to talk to users directly and ship off their feedback. - Are excited to apply real engineering rigor to a messy, economically valuable problem. You'd work directly with the founders and a small, high-bar engineering team. ### Non-negotiable Fully in person in Dumbo, Brooklyn. ### Stack TypeScript and React on the frontend. Python and FastAPI on the backend. ### Compensation Competitive base salary ($160k -$300K depending on years of experience), early-stage equity, unlimited PTO, and additional benefits such as paid dinner in office and Ubers from the office.