Senior Software Engineer, Full Stack

Company: Chartis

Location: Remote (Remote)

Salary: $200k - $225k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-11

About this role

## About Chartis

The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better.

Chartis has offices in Boston, Chicago, New York, Washington D.C., and Nashville.

Remote work is allowed.

## Role Overview

This is an opportunity to join a software development team building next-generation AI platforms for healthcare. We are looking for a technically fearless, accomplished engineer who will serve as a subject matter expert across agentic and full-stack systems, working daily in an agile environment to solve complex, cross-team challenges. You will drive engineering excellence and champion a culture of quality, innovation, and operational effectiveness.

## Responsibilities

AI & Agentic Systems Development

  • Design and build robust agentic workflows utilizing advanced frameworks such as LangChain and LangGraph.
  • Contribute to the strategy and ongoing maintenance of AI infrastructure, ensuring alignment with broader business goals and organizational risk tolerance.
  • Develop and maintain robust AI evaluation frameworks that measure real-world performance and drive measurable outcomes in healthcare.
  • Develop indexing and retrieval strategies across diverse healthcare data sources, including document repositories, FHIR-based clinical datasets, and payor/provider data, to ...

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