Magical

Artificial Intelligence

• Build custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases
• Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption
• Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform
• Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems
• Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements
• Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization
• Help the engineering team build internal tools and documentation to streamline future customer implementations
• Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth

AI Prompt Engineer

Backend Engineer

• Push the frontier of how agents interact with the browser, improving speed, reliability, and coverage across real-world apps
• Build and evolve how multiple agents collaborate to solve complex workflows
• Design and scale the systems that make Magical run seamlessly on desktop, unlocking enterprise-grade stability and performance
• Build rigorous verification systems that guarantee our agents are doing the right thing every time
• Shape engineering playbook as a founding engineer and help scale the product to larger ARR targets

Backend Engineer, AI Product

Full-stack Engineer

• 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.

AI Prompt Engineer

Backend Engineer, AI Product

Software Engineer, AI