About this role.
Qventus is seeking an early-career AI Tooling Engineer to build and deploy internal AI agents, automations, and LLM-enabled tools for operational teams. The role combines hands-on TypeScript and/or Python development with direct discovery work across operations, customer success, finance, people, engineering, IT, and data. The engineer will prioritize high-impact workflow problems, ship quickly, gather user feedback, and establish practical LLM evaluation and safety practices. This is a remote US full-time position with significant executive and cross-functional exposure. Success is measured by delivering a daily-used tool in the first weeks and multiple adopted tools within two months.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Cover letter sample
Dear Qventus Hiring Team,
I am excited to apply for the AI Tooling Engineer role. My experience building software with TypeScript/Python, APIs, automations, and LLM-enabled workflows aligns well with Qventus's goal of delivering practical internal tools that teams adopt.
I am comfortable working from ambiguous problems, partnering directly with nontechnical stakeholders, and iterating quickly from real user feedback. I would bring a product-minded, end-to-end approach to building reliable agents, workflow integrations, and evaluation practices that help Qventus teams operate more effectively.
I am particularly motivated by the opportunity to apply AI in support of Qventus's healthcare mission and would welcome the chance to contribute.
Sincerely,
Your Name
Sample interview questions
I would explain the user workflow, architecture, model and retrieval choices, and how I shipped an initial usable version. I would describe measuring quality through task success, groundedness or accuracy checks, user feedback, latency, and cost, then iterating based on observed failure modes.
I would first shadow the workflow and map triggers, inputs, decision points, systems, exceptions, and approval requirements. I would identify the highest-volume or highest-friction step, validate the proposed workflow with users and owners, then build a narrow pilot with auditability and human approval where needed.
I would define the allowed actions and failure boundaries, use structured outputs and validation, minimize access to sensitive data, and maintain logs and clear user review paths. I would create representative evaluation cases, test prompt and model changes against them, and monitor production feedback and error patterns.
I would use secure OAuth or service credentials, webhooks or scheduled jobs for events, and an integration layer that validates and normalizes data. I would design idempotent actions, retries, observability, permission checks, and an approval or confirmation step for consequential updates.
I would describe clarifying the underlying job to be done through examples and workflow observation instead of relying on an initial feature request. I would align on a small measurable pilot, communicate tradeoffs and scope, ship quickly, and use adoption data and feedback to refine the solution.
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 impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1
About the Role
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. You’ll define what “internal AI” looks like here from scratch.
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.
Who you will work with
- 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.
What we’re looking for
- 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.
Bonus, not required
- 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
What success looks like
- 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
$120,000—$150,000 USD
Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers.
Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice.
*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.
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