Company facts
- Founded
- 2022
- Employees
- 50
- Headquarters
- United States
About
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using clinical AI. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention. Arintra has partnered with several provider clients that includes health systems and large physician groups with 100% success. Through automation of these charts, Arintra has reduced undercoding by 11% and coding-related claim denials by 43%. Arintra is headquartered in Austin, Texas. Arintra is bi-directionally integrated with leading EHRs including Epic, Athena, Cerner, etc. to process patient charts directly from the EHR to create a direct-to-billing claim. This direct-to-billing claim includes precise E/M levels, CPT, ICD-10, HCC, HCPCS codes with appropriate modifiers and units. Both founders have PhDs in AI, significant ML and NLP experience, 60+ patents and publications, and a combined 20+ years of experience working at B2B companies and startups in Silicon Valley.
Open positions
Lead Data Scientist
Requirements: 7+ years building and deploying production AI/ML systems, with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…
Data Scientist
Requirements: 8+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…
Staff Backend Engineer
The candidate will have responsibilities across the following functions : Backend engineering: Design, build, and own backend services in Java, Spring Boot, and a microservices architecture with real accountability for…
Staff Data Scientist
Requirements: 8+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…
Senior Product Manager
Responsibilities: Own the core data platform end-to-end: ingestion, pipelines, storage, and the analytics/reporting substrate every other product line builds on. Partner with engineering and data teams to turn raw…
Senior Product Manager - Data Platform
Requirements: 6+ years in product management, ideally with hands-on experience in data engineering, analytics, or analytics engineering before moving into PM. Proven track record of building or owning a significant…
Senior Product Manager - Data Platform
Key Responsibilities : - Own the core data platform end-to-end : ingestion, pipelines, storage, and the analytics/reporting substrate every other product line builds on. - Partner with engineering and data teams to…
Engineering Manager - Agentic AI
Responsibilities: Build and lead a high-performing engineering team developing production Agentic AI systems. Own both delivery and technical outcomes: quality, reliability, latency, and cost. Partner closely with…
Senior Product Manager
Responsibilities: Define and own the product vision, strategy, and roadmap for AI/ML-powered B2B products. Drive end-to-end product development from discovery and prioritization to execution, launch, and post-launch…
Sr. Product Manager
Requirements: 5+ years of Product Management experience with ownership of product strategy, roadmap, and execution. Minimum 2 years of experience building or managing AI/ML-powered products. Minimum 2 years of…
Lead Data Scientist
Requirements: 8+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…
Sr. Data Scientist
Requirements: 3+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…
SDE III (Backend) Agentic SDLC
The candidate will have responsibilities across the following functions : Backend engineering: Design, build, and own backend services in Java, Spring Boot, and a microservices architecture with real accountability for…
Senior Software Engineer
Requirements: Need Java + Spring + Specification-Driven Development + Agentic AI, and the person should have worked on an Agentic SDLC. Strong hands-on experience with Java 8/11/17/21+. Strong experience with Spring…
Sr. Engineering Manager
Responsibilities: Lead, mentor, and direct-manage a team of 6-10 software and AI engineers, driving engineering quality, roadmap execution, and production reliability. Own end-to-end production shipping and maintenance…
Engineering Manager - Agentic SDLC
Requirements: 9+ years in software engineering with 3+ years managing engineers directly, including hiring and performance management. Strong technical grounding in Java, Spring Boot, and microservices enough to review…
Engineering Manager - Agentic SDLC
Responsibilities: Led Agentic SDLC adoption. Process Transformation (Not Built MCP or Agent, but how someone changed engineering: PR review changed, testing changed, onboarding changed, design docs changed, and code…
Senior Product Manager
Responsibilities: Own a product area end-to-end, define the why, what, and how for features that deliver measurable impact to enterprise customers. Work closely with engineering, design, clinical, and data science…
Data Scientist
Requirements: 6-8 years of experience. Strong Python programming skills. Solid understanding of NLP fundamentals and Transformer architectures. Good to have: fine-tuning, LLM models, multimodal models, LLM, NLP. Strong…
AI Engineer III
Requirements: 5+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…

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