AI Tooling Engineer

Summary

Qventus, Inc is leading the transformation of healthcare with innovative solutions that harness machine learning and AI. They are seeking an AI Tooling Engineer to build AI-powered tools that enhance operational efficiency across various teams, focusing on delivering practical solutions that are adopted by users.

Responsibilities

• 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
• 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
• 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
• You'll embed with internal customers and collaborators to learn their workflows and ship tools they actually use
• You'll pick the highest-impact one, ship it, and move to the next

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness and technology stipends
• A generous employee referral bonus
• Employee stock option awards