Job description
At Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. We’re building a brand new product, and this is your chance to join as a founding engineer. In just a few months, we’ve already hit product-market fit and closed six-figure deals with a clear path to much bigger contracts. We’re not starting from scratch either: our existing product has generated millions in revenue. Now, we’re evolving that user base toward our agentic future while consistently bringing in new customers.
You’ll work in a small, nimble team tackling challenging, ambiguous problems at the cutting edge of technology and learn something new every day. We believe the effort and raw hours you put in directly shapes the outcome. Speed matters, and we move with focus and intent.
Projects you might work on
Process Mapping & Discovery
Interview internal stakeholders (sales, marketing, support, operations) to deeply understand workflows.
Translate business processes into step-by-step logic that can be automated.
Agent Building
Use our internal platform to prompt, code, and configure AI workflows.
Iterate rapidly on prompts, logic, and integrations to achieve accurate, production-ready agents.
Testing & Debugging
Run test cases, identify failure points, and debug agent behavior.
Optimize workflows for speed, accuracy, and reliability.
Rapid Experimentation
Deliver MVPs within hours or days, not weeks.
Balance “done fast” with “done well,” iterating in real time based on feedback.
Continuous Curiosity
Ask the right questions to uncover hidden bottlenecks.
Propose additional workflows or automations that stakeholders didn’t realize were possible.
About you
Education: BS in Computer Science (or near completion, recent grad).
Technical Skills:
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.
Mindset:
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.).
Prior internship or project experience building agents, chatbots, or workflow automation.
Knowledge of LLM prompting techniques.
What we offer
A chance to be an early team member at a fast-growing, ambitious company
The opportunity to push the boundaries of what’s possible with AI
A modern stack and the latest tools to do your best work
Competitive salary
An opportunity to convert to FTE.
Tech stack
TypeScript
Backend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway
Frontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and Vite
