Magical

Software Engineer, AI

Magical

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $75,000 - $120,000 per year

Job Level

Entry Level

Tech Stack

AirflowJavaScriptNext.jsNode.jsPostgresPythonTypeScript

About the role

  • At Magical, we empower organizations to automate complex, manual workflows; building a brand new product with a founding engineer opportunity.
  • In a few months the product hit product-market fit, closed six-figure deals, and the existing product has generated millions in revenue.
  • Work in a small, nimble team tackling challenging, ambiguous problems at the cutting edge of technology.
  • Process Mapping & Discovery: interview stakeholders and translate business processes into step-by-step logic that can be automated.
  • Agent Building: prompt, code, and configure AI workflows; iterate on prompts, logic, and integrations to achieve production-ready agents.
  • Testing & Debugging: run test cases, identify failure points, debug agent behavior, and optimize workflows for speed, accuracy, and reliability.
  • Rapid Experimentation: deliver MVPs within hours or days; balance "done fast" with "done well" and iterate based on feedback.
  • Continuous Curiosity: ask questions to uncover bottlenecks and propose additional workflows or automations.

Requirements

  • Education: BS in Computer Science (or near completion, recent grad).
  • Proficient in at least one scripting language (Python, JavaScript preferred).
  • Comfortable with APIs, data structures, and writing clean, efficient code.
  • Strong ability to translate ambiguous business processes into logical workflows.
  • Exceptionally fast learner who thrives in ambiguity.
  • Gets shit done: bias to execution, speed, and iteration.
  • Inquisitive and resourceful; digs deeper when something doesn’t make sense.
  • Thrives in a startup environment with high expectations and rapid feedback cycles.
  • Nice-to-have: Experience with automation tools (Zapier, n8n, Airflow, LangChain, etc.).
  • Nice-to-have: Prior internship or project experience building agents, chatbots, or workflow automation.
  • Nice-to-have: Knowledge of LLM prompting techniques.
  • Tech stack: TypeScript; Backend: Node, AI SDK, Hono, Drizzle, Postgres (neon), Railway; Frontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, Vite.