AI Automation Engineer

About The Role

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.

• AP invoice automation – extending vendor coverage on an existing browser‑automation pipeline that logs into vendor portals, pulls invoices, and feeds them into finance systems. First task on day one: closing out the last handful of vendors.
• Lease and rent‑roll data – pulling structured data out of lease documents and reconciling it against landlord statements.
• Internal AI agents and tools – building structured intake tools, AI‑assisted workflows, and small internal apps that give non‑technical staff a simple front end to something AI‑powered underneath.
• Data plumbing – databases, spreadsheet and workspace‑tool integrations, business‑intelligence connections, wiring up whatever system actually holds the data.
• Prototyping – fast, scrappy proofs of concept that test whether an automation idea holds up before committing real build time.

• 1 to 3 years of professional software engineering experience (a new grad with strong internships is also a great fit).
• Solid Type Script/JavaScript skills, comfortable working in React and Next.js.
• Working knowledge of relational databases (Postgres or similar);
  Supabase experience is a plus.
• 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 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.

• 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.

• Direct line of sight from idea to production. No multi‑layer approval chain for small builds.
• Broad exposure across finance, operations, and clinical‑support automation, an unusually wide range for an early‑career role.
• Work side by side with the Chief AI Officer on a real, funded transformation program at an operating healthcare company, not a slide deck.
• Room to grow into ownership of a full initiative as the program and team grow.

Location:

Based out of Exer's corporate office in El Segundo, CA.