Qventus·USA·19 авг.
AI Tooling Engineer
10 000 – 12 500 $
≈ 866,8 тыс.–1,1 млн ₽
🌍 УдалённоLeadПолная занятость🌐 Глобал
62
Хорошие условия
Навык востребован (python).
Наша компания
On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impac
Чем предстоит заниматься
We're hiring Engineers dedicated to building AI-powered tools that change how work gets done inside the company. You'll embed with teams across operations, customer success, and finance, find the work that's slow and manual, and ship AI agents and automations that actually get adopted
This is a build-fast, talk-to-humans, own-the-problem role - not a research role and not a pure-infrastructure role
Who this is for
You're energized by ambiguity and ownership. You'd rather ship a rough tool this week, watch someone use it, and improve it than spend a month on a perfect spec. You like sitting with a non-technical teammate, understanding their actual workflow, and turning it into something that saves them hours. You're comfortable being the only person who owns a problem end to end
Наши требования
1–3 years building software — backend services, internal tools, automations, or API-driven apps. Internships and co-ops count
Strong in TypeScript and/or Python
You've built something with LLMs — an agent, a RAG pipeline, a copilot, a prompt-driven tool — through work, a side project, or coursework. We care that you've shipped, not where
Comfortable wiring systems together: APIs, webhooks, SaaS integrations, async workflows
You can talk to non-technical stakeholders, figure out what they really need, and drive adoption — this matters as much as the code
You move fast under ambiguity and iterate from real feedback
Built copilots, agents, or workflow automations before
Used an orchestration framework (LangChain, Temporal, or similar)
Worked with vector databases or retrieval systems
Integrated with Salesforce, Slack, Zendesk, Notion, or Jira
Startup / high-growth experience
Мы предлагаем
First few weeks: shipped your first internal tool and it's in active daily use by a business team
Within 2 months: 2–3 tools live, and stakeholders are coming to you with ideas
By month 3: you've set the team's baseline practices for evals, prompt management, and safe LLM deployment — the foundation the function grows on
Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards
Salary Range
Benefits and perks are subject to plan documents and may change at the company's discretion
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test
Дополнительно
You'll partner closely with the CEO and founders on identifying the highest-leverage operational problems to solve and shaping where internal AI goes next. This is a rare amount of executive access to an engineering role
You’ll work alongside functional leaders across the business to understand their priorities, surface opportunities , and align on what to build. Your work will be visible and leadership level from day one
Operations, Customer Success, Finance, People/Talent Acquisition, Engineering, IT and Data teams, these are your internal customers and collaborators. You'll embed with them, and learn their workflows and ship tools they actually use
What you'll actually build
Examples of the kind of work waiting for you
An agent that drafts customer success replies from our knowledge base and ticket history
A Slack-based workflow that routes and pre-fills finance approvals
An internal eval harness so we can trust the LLM features we ship
A tool that lets the ops team query [internal system] in plain language
You won't do all of these at once — you'll pick the highest-impact one, ship it, and move to the next
$120,000—$150,000 USD
Технологии и навыки
Qventus
USA
ГрейдLead
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано19 авг.
Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).