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Parambil

AI-assisted medical record review for litigation

Senior Full-Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of experience building and shipping full-stack web applications.
  • Strong backend experience designing APIs, managing authentication, handling data migrations, and integrating third-party services.
  • Deep AWS and infrastructure expertise, including designing, deploying, and monitoring production systems using Terraform, ECS, EC2, and supporting services such as Lambda, RDS, and CloudWatch.
  • A solid understanding of data modeling, performance optimization, and secure infrastructure.
  • Ability to communicate effectively and collaborate across functions.

Responsibilities

  • Build features end-to-end, from system design through production delivery.
  • Work directly with lawyers and domain experts to understand problems and model solutions using cloud, web, and AI infrastructure.
  • Communicate technical ideas, constraints, and trade-offs clearly.
  • Provide guidance to other engineers to support collaboration and delivery.
  • Help shape and scale the engineering process as the product and team grow.

Desired Qualifications

  • Experience with Next.js, React, TypeScript, or PostgreSQL is a plus.

About the Company

Parambil

AI-assisted medical record review for litigation

Parambil provides AI-assisted medical record review software for complex litigation, focusing on medical malpractice, birth injury, nursing home negligence, mass torts, product liability, and other injury cases. The platform analyzes medical records, depositions, expert reports, and other documents to produce comprehensive medical chronologies and sortable timelines with hyperlinked sources. AI agents handle end-to-end tasks: a Case Agent researches cases, a Drafting Agent creates legal documents, and a real-time web-search tool pulls clinical guidelines, with an Ask AI feature and a provider guide for deposition prep. The goal is to turn medical complexity into courtroom clarity by speeding review and improving accuracy, targeting law firms handling large volumes of medical evidence as a faster, more consistent alternative to manual review.

Company size
11-50
Company stage
Seed
Total funding
$6M
Headquarters
New York City, New York
Founded
2023

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