AI Automation Engineer
About The Position
Exer Urgent Care is running an AI and automation transformation program across finance, operations, and clinical-support functions, led by the Chief AI Officer. We're looking for an early-career engineer to join as a hands-on builder, someone who can take a spec, a rough sketch, or a "here's the problem" conversation and turn it into a working automation quickly. This isn't a maintenance role on an established team. You'll work directly with the CAIO, picking up real build projects already in flight and helping stand up new ones, with real autonomy and a short distance between idea and shipped tool.
Requirements
- 1 to 3 years of professional software engineering experience (a new grad with strong internships is also a great fit).
- Solid TypeScript/JavaScript, comfortable working in React and Next.js.
- Working knowledge of relational databases (Postgres or similar).
- Genuine curiosity about applied AI: prompt engineering, LLM APIs, or agent frameworks, even if that experience comes from personal projects rather than a job.
- Comfortable with ambiguity. Specs here often start as a planning doc or a conversation, not a fully scoped ticket.
- Able to work independently once pointed at a problem, and to flag blockers early rather than sit on them.
- Based in or willing to work from the Los Angeles area out of Exer's corporate office.
Nice To Haves
- Supabase experience.
- Exposure to browser-automation or RPA-style tooling.
- Experience with background job or workflow-orchestration systems.
- Familiarity with deploying on Vercel or similar platforms.
- Any experience handling sensitive or regulated data carefully, healthcare or finance, even from coursework or an internship.
Responsibilities
- Extend vendor coverage on an existing browser-automation pipeline that logs into vendor portals, pulls invoices, and feeds them into finance systems.
- Pull structured data out of lease documents and reconcile it against landlord statements.
- Build structured intake tools, AI-assisted workflows, and small internal apps that give non-technical staff a simple front end to something AI-powered underneath.
- Manage databases, spreadsheet and workspace-tool integrations, business-intelligence connections, and wiring up systems that hold data.
- Develop fast, scrappy proofs of concept that test whether an automation idea holds up before committing real build time.
Benefits
- Full training on compliance constraints (HIPAA and related) is provided on the job.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
