Remote AI Automation Engineer — Drive Efficiency & Insights

Urrly; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

Urrly, a healthcare technology company, seeks a hands-on, AI-native builder to accelerate internal teams by delivering practical AI-powered solutions. You will work with operations, finance, clinical, and business teams to map workflows, spot bottlenecks, and ship impactful tooling using AI, automation, APIs, SQL, Python, and low-code tech.

This is not traditional software engineering; success is measured by business value—reducing manual work, improving visibility, and increasing accuracy.

Qualifications

• 2–4 years of relevant experience in software engineering, automation, data engineering, technical operations, or a similar role.
• Experience with AI-assisted development tools and modern software platforms.
• Ability to work with APIs, databases, SQL, Python, and integration tools.

Responsibilities

• Work with operations, finance, clinical, and other teams to understand workflows, data processes, and operational bottlenecks.
• Design, prototype, and deploy solutions using AI-assisted development tools, APIs, automation platforms, SQL, Python, and low-code technologies.
• Automate repetitive tasks, connect disconnected systems, and streamline manual workflows.
• Build dashboards, reporting tools, and lightweight internal applications that improve visibility and decision-making.
• Apply LLMs, AI agents, and related technologies where they can meaningfully improve productivity or accuracy.
• Own projects from problem discovery through deployment, iteration, and measurable business impact.

Skills

AI-assisted development tools

Claude Code

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APIs

SQL

Python

Low-code platforms

Dashboard development

Workflow automation

Data workflows

Analytical thinking

Self-starter

Tools

Claude Code

Cursor

APIs

SQL

Python

Job description

Urrly, a healthcare technology company, seeks a hands-on, AI-native builder to accelerate internal teams by delivering practical AI-powered solutions. You will work with operations, finance, clinical, and business teams to map workflows, spot bottlenecks, and ship impactful tooling using AI, automation, APIs, SQL, Python, and low-code tech.

This is not traditional software engineering; success is measured by business value—reducing manual work, improving visibility, and increasing accuracy.