Tech Automation Engineer

About Us Quadrivia is the health technology company behind Q, a comprehensive, controllable, and customizable assistant AI built by clinicians, for clinicians. Addressing the urgent shortage of healthcare professionals, Q provides real-time, personal, and reliable support for clinical tasks across the care continuum. Designed for providers, payers, and pharmaceutical companies, Q is easy to customise and integrates seamlessly into workflows, delivering precise assistance across the care spectrum.

We're looking for an AI Automation Engineer to build an ambitious autonomous backbone for our operations. If you've spent the last year deep in Skills, workflows, and MCP architectures—orchestrating autonomous flows with Claude, Gemini, and the latest agentic toolchains—and you know exactly where the line sits between a prototype and a production‐grade system, you've found your team. Build the automation.

Python and API glue, MCP servers and clients, Claude Skills, agent workflows, and small services where they're needed. Logs, alerts when something breaks, and a way to know whether the automation is still doing its job. When an automation needs to become a real platform, hand it to the backend team instead of bolting on.

Python, APIs, scripting, enough to build the automation yourself without waiting on an engineer for every step. You've felt the pain of an automation that broke quietly, and you don't let it happen twice. A background as a solutions engineer, technical PM, consultant, or ops engineer who went agentic‐native.

Spanish, for the internal teams you'll embed with. Automate CRM updates, call logging, deal qualification, prospect research, and smart alerting to keep the team selling instead of doing admin.

Content: Automate social media workflows, using AI to streamline video generation and post‐production editing.

Ops: Map high‐effort manual processes, like patient onboarding, and build automations to handle the heavy lifting. Graduate successful scripts into the core backend platform whenever an automation outgrows its initial scope.

Tech Stack

Python, REST and webhook integrations, MCP, Claude Skills and Cowork, agent and workflow orchestration, plus whatever automation tooling fits the job. The teams you work with reach for automation by default and trust it, because the things you ship keep working. Your automations are instrumented and maintained, not a graveyard of scripts nobody dares touch.