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Qventus

AI-driven platform optimizing care operations

AI Tooling Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Have 1–3 years of software-building experience in backend services, internal tools, automations, or API-driven applications; internships and co-ops count.
  • Be strong in TypeScript and/or Python.
  • Have built something with large language models, such as an agent, retrieval-augmented generation pipeline, copilot, or prompt-driven tool, through work, a side project, or coursework.
  • Be comfortable integrating systems using APIs, webhooks, software-as-a-service integrations, and asynchronous workflows.
  • Be able to engage non-technical stakeholders, understand their needs, and drive adoption.
  • Be able to work quickly amid ambiguity and iterate based on real feedback.

Responsibilities

  • Partner with the CEO and founders to identify high-leverage operational problems and shape the direction of internal AI.
  • Work with functional leaders across the business to understand priorities, identify opportunities, and align on what to build.
  • Embed with internal customer teams, learn their workflows, and ship tools they adopt.
  • Identify slow and manual work and build AI agents and automations that improve how work gets done.
  • Choose the highest-impact tool to build, ship it, and then move to the next opportunity.
  • Build internal tools such as customer-success reply-drafting agents based on knowledge bases and ticket history, Slack workflows for finance approvals, evaluation harnesses for large language model features, and natural-language query tools for internal systems.

Desired Qualifications

  • Prior experience building copilots, agents, or workflow automations.
  • Experience with an orchestration framework such as LangChain or Temporal.
  • Experience with vector databases or retrieval systems.
  • Experience integrating Salesforce, Slack, Zendesk, Notion, or Jira.
  • Startup or high-growth company experience.

About the Company

Qventus

AI-driven platform optimizing care operations

Qventus uses AI and ML, combined with behavioral science and data from electronic health records (EHR) and market sources, to automate and optimize care operations in healthcare facilities. Its platform analyzes operational data to provide visibility and guidance that improve resource use, shorten patient stays, raise care quality, and reduce clinicians’ cognitive burden so they can spend more time with patients. It differentiates itself through a strategic partnership approach that pairs technology with centralized operational change and deep EHR integration to drive enterprise-wide improvements. The goal is to reduce variability and waste, ease clinician burnout, and deliver better patient care along with financial value for health systems.

Company size
201-500
Company stage
Series D
Total funding
$216.1M
Headquarters
Mountain View, CA
Founded
2012

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